Overview

Dataset statistics

Number of variables203
Number of observations73663
Missing cells0
Missing cells (%)0.0%
Total size in memory114.6 MiB
Average record size in memory1.6 KiB

Variable types

Numeric203

Alerts

V392 has constant value ""Constant
V366 is highly skewed (γ1 = 122.9481907)Skewed
V367 is highly skewed (γ1 = 108.0325828)Skewed
V368 is highly skewed (γ1 = 123.0793088)Skewed
V369 is highly skewed (γ1 = 117.4329893)Skewed
V370 is highly skewed (γ1 = 135.0038079)Skewed
V371 is highly skewed (γ1 = 128.7751305)Skewed
V372 is highly skewed (γ1 = 30.83165434)Skewed
V373 is highly skewed (γ1 = 140.2908623)Skewed
V374 is highly skewed (γ1 = 102.1836587)Skewed
V375 is highly skewed (γ1 = 120.8320217)Skewed
V376 is highly skewed (γ1 = 114.4070746)Skewed
V377 is highly skewed (γ1 = 143.2208295)Skewed
V378 is highly skewed (γ1 = 99.39046064)Skewed
V379 is highly skewed (γ1 = 27.99861927)Skewed
V380 is highly skewed (γ1 = 132.5935237)Skewed
V381 is highly skewed (γ1 = 92.87176785)Skewed
V382 is highly skewed (γ1 = 136.3453035)Skewed
V383 is highly skewed (γ1 = 120.3239595)Skewed
V384 is highly skewed (γ1 = 169.7942851)Skewed
V385 is highly skewed (γ1 = 68.6876223)Skewed
V386 is highly skewed (γ1 = 32.35343199)Skewed
V387 is highly skewed (γ1 = 161.8005722)Skewed
V388 is highly skewed (γ1 = 142.2292165)Skewed
V389 is highly skewed (γ1 = 155.0359991)Skewed
V390 is highly skewed (γ1 = 149.1989205)Skewed
V391 is highly skewed (γ1 = 250.5504628)Skewed
V393 is highly skewed (γ1 = 271.409285)Skewed
V394 is highly skewed (γ1 = 147.556481)Skewed
V395 is highly skewed (γ1 = 96.32427683)Skewed
V396 is highly skewed (γ1 = 118.5333166)Skewed
V397 is highly skewed (γ1 = 110.5052139)Skewed
V398 is highly skewed (γ1 = 126.5893626)Skewed
V399 is highly skewed (γ1 = 88.44611499)Skewed
V400 is highly skewed (γ1 = 31.4212457)Skewed
V401 is highly skewed (γ1 = 140.08473)Skewed
V404 is highly skewed (γ1 = 42.09392498)Skewed
V405 is highly skewed (γ1 = 90.89403131)Skewed
V406 is highly skewed (γ1 = 115.0314585)Skewed
V407 is highly skewed (γ1 = 122.176477)Skewed
V408 is highly skewed (γ1 = 130.0266935)Skewed
V409 is highly skewed (γ1 = 136.262013)Skewed
V410 is highly skewed (γ1 = 138.1945572)Skewed
V411 is highly skewed (γ1 = 137.167419)Skewed
V412 is highly skewed (γ1 = 131.9370182)Skewed
V413 is highly skewed (γ1 = 133.1426507)Skewed
V414 is highly skewed (γ1 = 107.9110147)Skewed
V415 is highly skewed (γ1 = 78.57367689)Skewed
V416 is highly skewed (γ1 = 50.54880754)Skewed
V417 is highly skewed (γ1 = 80.48964739)Skewed
V418 is highly skewed (γ1 = 86.08438813)Skewed
V419 is highly skewed (γ1 = 90.26105578)Skewed
V420 is highly skewed (γ1 = 94.20810294)Skewed
V421 is highly skewed (γ1 = 99.76986581)Skewed
V422 is highly skewed (γ1 = 104.2110309)Skewed
V423 is highly skewed (γ1 = 103.9997201)Skewed
V424 is highly skewed (γ1 = 105.9822426)Skewed
V425 is highly skewed (γ1 = 125.4693567)Skewed
V426 is highly skewed (γ1 = 108.2259336)Skewed
V429 is highly skewed (γ1 = 62.24927511)Skewed
V430 is highly skewed (γ1 = 116.1352958)Skewed
V431 is highly skewed (γ1 = 133.2218272)Skewed
V432 is highly skewed (γ1 = 138.2120922)Skewed
V433 is highly skewed (γ1 = 147.3044385)Skewed
V434 is highly skewed (γ1 = 149.0559768)Skewed
V435 is highly skewed (γ1 = 143.0480486)Skewed
V436 is highly skewed (γ1 = 145.8875157)Skewed
V437 is highly skewed (γ1 = 140.8101398)Skewed
V438 is highly skewed (γ1 = 142.8506886)Skewed
V439 is highly skewed (γ1 = 130.7004708)Skewed
V440 is highly skewed (γ1 = 91.7921509)Skewed
V441 is highly skewed (γ1 = 59.02368638)Skewed
V442 is highly skewed (γ1 = 85.04107654)Skewed
V443 is highly skewed (γ1 = 92.44494739)Skewed
V444 is highly skewed (γ1 = 99.96002904)Skewed
V445 is highly skewed (γ1 = 102.7758897)Skewed
V446 is highly skewed (γ1 = 108.001998)Skewed
V447 is highly skewed (γ1 = 111.2825421)Skewed
V448 is highly skewed (γ1 = 114.4217867)Skewed
V449 is highly skewed (γ1 = 116.8574626)Skewed
V450 is highly skewed (γ1 = 126.2006933)Skewed
V451 is highly skewed (γ1 = 114.6400111)Skewed
V454 is highly skewed (γ1 = 53.87758117)Skewed
V455 is highly skewed (γ1 = 87.14690606)Skewed
V456 is highly skewed (γ1 = 102.6415205)Skewed
V457 is highly skewed (γ1 = 113.25074)Skewed
V458 is highly skewed (γ1 = 116.5034341)Skewed
V459 is highly skewed (γ1 = 122.1018664)Skewed
V460 is highly skewed (γ1 = 123.6089581)Skewed
V461 is highly skewed (γ1 = 123.4502939)Skewed
V462 is highly skewed (γ1 = 123.0780311)Skewed
V463 is highly skewed (γ1 = 129.7938206)Skewed
V464 is highly skewed (γ1 = 117.4329893)Skewed
V467 is highly skewed (γ1 = 49.81234928)Skewed
V468 is highly skewed (γ1 = 102.1820497)Skewed
V469 is highly skewed (γ1 = 115.7824695)Skewed
V470 is highly skewed (γ1 = 123.2067603)Skewed
V471 is highly skewed (γ1 = 99.86032383)Skewed
V472 is highly skewed (γ1 = 109.2001827)Skewed
V473 is highly skewed (γ1 = 147.2377481)Skewed
V474 is highly skewed (γ1 = 167.8053329)Skewed
V475 is highly skewed (γ1 = 245.7837075)Skewed
V476 is highly skewed (γ1 = 88.94121822)Skewed
V477 is highly skewed (γ1 = 66.06039685)Skewed
V478 is highly skewed (γ1 = 55.25435747)Skewed
V479 is highly skewed (γ1 = 62.01071046)Skewed
V480 is highly skewed (γ1 = 113.9461418)Skewed
V481 is highly skewed (γ1 = 130.9228758)Skewed
V482 is highly skewed (γ1 = 137.9779391)Skewed
V483 is highly skewed (γ1 = 138.0570874)Skewed
V484 is highly skewed (γ1 = 143.1727682)Skewed
V485 is highly skewed (γ1 = 149.7534089)Skewed
V486 is highly skewed (γ1 = 152.5401544)Skewed
V487 is highly skewed (γ1 = 169.6779798)Skewed
V488 is highly skewed (γ1 = 156.052345)Skewed
V491 is highly skewed (γ1 = 45.6915557)Skewed
V492 is highly skewed (γ1 = 105.3611468)Skewed
V493 is highly skewed (γ1 = 112.0587817)Skewed
V494 is highly skewed (γ1 = 118.5225004)Skewed
V495 is highly skewed (γ1 = 130.857351)Skewed
V496 is highly skewed (γ1 = 149.4251344)Skewed
V497 is highly skewed (γ1 = 166.7533375)Skewed
V498 is highly skewed (γ1 = 182.6847816)Skewed
V499 is highly skewed (γ1 = 255.5974205)Skewed
V500 is highly skewed (γ1 = 138.3477444)Skewed
V501 is highly skewed (γ1 = 59.3486514)Skewed
V502 is highly skewed (γ1 = 44.72613361)Skewed
V503 is highly skewed (γ1 = 72.80527788)Skewed
V504 is highly skewed (γ1 = 139.4290406)Skewed
V505 is highly skewed (γ1 = 147.064623)Skewed
V506 is highly skewed (γ1 = 151.4055065)Skewed
V507 is highly skewed (γ1 = 150.0530675)Skewed
V508 is highly skewed (γ1 = 151.0827043)Skewed
V509 is highly skewed (γ1 = 157.9396368)Skewed
V510 is highly skewed (γ1 = 159.8806507)Skewed
V511 is highly skewed (γ1 = 163.9026451)Skewed
V512 is highly skewed (γ1 = 158.7597158)Skewed
V515 is highly skewed (γ1 = 39.2182417)Skewed
V516 is highly skewed (γ1 = 81.82313525)Skewed
V517 is highly skewed (γ1 = 93.33969125)Skewed
V518 is highly skewed (γ1 = 103.3854536)Skewed
V519 is highly skewed (γ1 = 106.1629844)Skewed
V520 is highly skewed (γ1 = 115.5436036)Skewed
V521 is highly skewed (γ1 = 120.9195723)Skewed
V522 is highly skewed (γ1 = 122.9719506)Skewed
V523 is highly skewed (γ1 = 141.5880024)Skewed
V524 is highly skewed (γ1 = 114.4070746)Skewed
V530 is highly skewed (γ1 = 20.08842122)Skewed
V531 is highly skewed (γ1 = 69.46851312)Skewed
V532 is highly skewed (γ1 = 56.3928975)Skewed
V533 is highly skewed (γ1 = 124.8324992)Skewed
V534 is highly skewed (γ1 = 116.2528797)Skewed
V536 is highly skewed (γ1 = 37.14248718)Skewed
V537 is highly skewed (γ1 = 32.84740145)Skewed
V538 is highly skewed (γ1 = 40.25189767)Skewed
V539 is highly skewed (γ1 = 151.7238515)Skewed
V540 is highly skewed (γ1 = 185.4698149)Skewed
V541 is highly skewed (γ1 = 191.3082429)Skewed
V542 is highly skewed (γ1 = 196.6997559)Skewed
V543 is highly skewed (γ1 = 195.8388306)Skewed
V544 is highly skewed (γ1 = 191.5668759)Skewed
V545 is highly skewed (γ1 = 192.1799289)Skewed
V546 is highly skewed (γ1 = 175.202669)Skewed
V551 is highly skewed (γ1 = 54.05024963)Skewed
V552 is highly skewed (γ1 = 49.52421578)Skewed
V553 is highly skewed (γ1 = 53.64493576)Skewed
V554 is highly skewed (γ1 = 59.16519477)Skewed
V555 is highly skewed (γ1 = 70.84043928)Skewed
V556 is highly skewed (γ1 = 162.2036852)Skewed
V558 is highly skewed (γ1 = 23.02542739)Skewed
V560 is highly skewed (γ1 = 54.9277967)Skewed
V561 is highly skewed (γ1 = 180.6544464)Skewed
V562 is highly skewed (γ1 = 196.3014655)Skewed
V563 is highly skewed (γ1 = 195.6950583)Skewed
V564 is highly skewed (γ1 = 198.342495)Skewed
V565 is highly skewed (γ1 = 196.0060806)Skewed
V566 is highly skewed (γ1 = 195.8683557)Skewed
V567 is highly skewed (γ1 = 192.7043793)Skewed
V568 is highly skewed (γ1 = 187.2479692)Skewed
V366 has 8611 (11.7%) zerosZeros
V367 has 8809 (12.0%) zerosZeros
V368 has 8981 (12.2%) zerosZeros
V369 has 8348 (11.3%) zerosZeros
V370 has 65453 (88.9%) zerosZeros
V371 has 65115 (88.4%) zerosZeros
V372 has 52786 (71.7%) zerosZeros
V373 has 8343 (11.3%) zerosZeros
V374 has 10478 (14.2%) zerosZeros
V375 has 10398 (14.1%) zerosZeros
V376 has 9746 (13.2%) zerosZeros
V377 has 66852 (90.8%) zerosZeros
V378 has 65657 (89.1%) zerosZeros
V379 has 59783 (81.2%) zerosZeros
V380 has 9743 (13.2%) zerosZeros
V381 has 16560 (22.5%) zerosZeros
V382 has 16426 (22.3%) zerosZeros
V383 has 15746 (21.4%) zerosZeros
V384 has 67882 (92.2%) zerosZeros
V385 has 65906 (89.5%) zerosZeros
V386 has 62305 (84.6%) zerosZeros
V387 has 15744 (21.4%) zerosZeros
V388 has 73649 (> 99.9%) zerosZeros
V389 has 73651 (> 99.9%) zerosZeros
V390 has 73649 (> 99.9%) zerosZeros
V391 has 73661 (> 99.9%) zerosZeros
V392 has 73663 (100.0%) zerosZeros
V393 has 73662 (> 99.9%) zerosZeros
V394 has 73649 (> 99.9%) zerosZeros
V395 has 5993 (8.1%) zerosZeros
V396 has 6167 (8.4%) zerosZeros
V397 has 5771 (7.8%) zerosZeros
V398 has 60526 (82.2%) zerosZeros
V399 has 63808 (86.6%) zerosZeros
V400 has 47897 (65.0%) zerosZeros
V401 has 6670 (9.1%) zerosZeros
V402 has 28972 (39.3%) zerosZeros
V403 has 12930 (17.6%) zerosZeros
V404 has 26940 (36.6%) zerosZeros
V405 has 46531 (63.2%) zerosZeros
V406 has 61742 (83.8%) zerosZeros
V407 has 67926 (92.2%) zerosZeros
V408 has 70040 (95.1%) zerosZeros
V409 has 71183 (96.6%) zerosZeros
V410 has 71827 (97.5%) zerosZeros
V411 has 72240 (98.1%) zerosZeros
V412 has 72362 (98.2%) zerosZeros
V413 has 69130 (93.8%) zerosZeros
V414 has 9083 (12.3%) zerosZeros
V415 has 70109 (95.2%) zerosZeros
V416 has 67308 (91.4%) zerosZeros
V417 has 69530 (94.4%) zerosZeros
V418 has 71339 (96.8%) zerosZeros
V419 has 72242 (98.1%) zerosZeros
V420 has 72821 (98.9%) zerosZeros
V421 has 73089 (99.2%) zerosZeros
V422 has 73251 (99.4%) zerosZeros
V423 has 73354 (99.6%) zerosZeros
V424 has 73391 (99.6%) zerosZeros
V425 has 73033 (99.1%) zerosZeros
V426 has 65364 (88.7%) zerosZeros
V427 has 28101 (38.1%) zerosZeros
V428 has 12904 (17.5%) zerosZeros
V429 has 30712 (41.7%) zerosZeros
V430 has 50937 (69.1%) zerosZeros
V431 has 63746 (86.5%) zerosZeros
V432 has 68345 (92.8%) zerosZeros
V433 has 70046 (95.1%) zerosZeros
V434 has 70955 (96.3%) zerosZeros
V435 has 71431 (97.0%) zerosZeros
V436 has 71801 (97.5%) zerosZeros
V437 has 71902 (97.6%) zerosZeros
V438 has 67670 (91.9%) zerosZeros
V439 has 9219 (12.5%) zerosZeros
V440 has 70716 (96.0%) zerosZeros
V441 has 68674 (93.2%) zerosZeros
V442 has 70422 (95.6%) zerosZeros
V443 has 71784 (97.4%) zerosZeros
V444 has 72553 (98.5%) zerosZeros
V445 has 72976 (99.1%) zerosZeros
V446 has 73155 (99.3%) zerosZeros
V447 has 73289 (99.5%) zerosZeros
V448 has 73358 (99.6%) zerosZeros
V449 has 73413 (99.7%) zerosZeros
V450 has 72966 (99.1%) zerosZeros
V451 has 66855 (90.8%) zerosZeros
V452 has 24492 (33.2%) zerosZeros
V453 has 11349 (15.4%) zerosZeros
V454 has 20185 (27.4%) zerosZeros
V455 has 38334 (52.0%) zerosZeros
V456 has 55971 (76.0%) zerosZeros
V457 has 64236 (87.2%) zerosZeros
V458 has 67452 (91.6%) zerosZeros
V459 has 69176 (93.9%) zerosZeros
V460 has 70169 (95.3%) zerosZeros
V461 has 70774 (96.1%) zerosZeros
V462 has 71014 (96.4%) zerosZeros
V463 has 66236 (89.9%) zerosZeros
V464 has 8348 (11.3%) zerosZeros
V465 has 34783 (47.2%) zerosZeros
V466 has 18543 (25.2%) zerosZeros
V467 has 31257 (42.4%) zerosZeros
V468 has 50980 (69.2%) zerosZeros
V469 has 64338 (87.3%) zerosZeros
V470 has 69450 (94.3%) zerosZeros
V471 has 71217 (96.7%) zerosZeros
V472 has 72070 (97.8%) zerosZeros
V473 has 72460 (98.4%) zerosZeros
V474 has 72688 (98.7%) zerosZeros
V475 has 70406 (95.6%) zerosZeros
V476 has 14375 (19.5%) zerosZeros
V477 has 70974 (96.3%) zerosZeros
V478 has 66309 (90.0%) zerosZeros
V479 has 64260 (87.2%) zerosZeros
V480 has 68414 (92.9%) zerosZeros
V481 has 71154 (96.6%) zerosZeros
V482 has 72406 (98.3%) zerosZeros
V483 has 72903 (99.0%) zerosZeros
V484 has 73185 (99.4%) zerosZeros
V485 has 73332 (99.6%) zerosZeros
V486 has 73380 (99.6%) zerosZeros
V487 has 72949 (99.0%) zerosZeros
V488 has 59958 (81.4%) zerosZeros
V489 has 33517 (45.5%) zerosZeros
V490 has 18349 (24.9%) zerosZeros
V491 has 34458 (46.8%) zerosZeros
V492 has 54529 (74.0%) zerosZeros
V493 has 65969 (89.6%) zerosZeros
V494 has 69761 (94.7%) zerosZeros
V495 has 71145 (96.6%) zerosZeros
V496 has 71809 (97.5%) zerosZeros
V497 has 72200 (98.0%) zerosZeros
V498 has 72388 (98.3%) zerosZeros
V499 has 69308 (94.1%) zerosZeros
V500 has 14487 (19.7%) zerosZeros
V501 has 70867 (96.2%) zerosZeros
V502 has 66921 (90.8%) zerosZeros
V503 has 65986 (89.6%) zerosZeros
V504 has 69472 (94.3%) zerosZeros
V505 has 71584 (97.2%) zerosZeros
V506 has 72555 (98.5%) zerosZeros
V507 has 72959 (99.0%) zerosZeros
V508 has 73157 (99.3%) zerosZeros
V509 has 73282 (99.5%) zerosZeros
V510 has 73337 (99.6%) zerosZeros
V511 has 72756 (98.8%) zerosZeros
V512 has 61727 (83.8%) zerosZeros
V513 has 27589 (37.5%) zerosZeros
V514 has 13052 (17.7%) zerosZeros
V515 has 21378 (29.0%) zerosZeros
V516 has 41159 (55.9%) zerosZeros
V517 has 58212 (79.0%) zerosZeros
V518 has 65917 (89.5%) zerosZeros
V519 has 68835 (93.4%) zerosZeros
V520 has 70295 (95.4%) zerosZeros
V521 has 71062 (96.5%) zerosZeros
V522 has 71460 (97.0%) zerosZeros
V523 has 67522 (91.7%) zerosZeros
V524 has 9746 (13.2%) zerosZeros
V525 has 38309 (52.0%) zerosZeros
V526 has 22971 (31.2%) zerosZeros
V527 has 34857 (47.3%) zerosZeros
V528 has 53610 (72.8%) zerosZeros
V529 has 66086 (89.7%) zerosZeros
V530 has 70748 (96.0%) zerosZeros
V531 has 72349 (98.2%) zerosZeros
V532 has 72889 (98.9%) zerosZeros
V533 has 73140 (99.3%) zerosZeros
V534 has 71620 (97.2%) zerosZeros
V535 has 19541 (26.5%) zerosZeros
V536 has 71465 (97.0%) zerosZeros
V537 has 68364 (92.8%) zerosZeros
V538 has 67247 (91.3%) zerosZeros
V539 has 70172 (95.3%) zerosZeros
V540 has 72210 (98.0%) zerosZeros
V541 has 73014 (99.1%) zerosZeros
V542 has 73385 (99.6%) zerosZeros
V543 has 73505 (99.8%) zerosZeros
V544 has 73557 (99.9%) zerosZeros
V545 has 73394 (99.6%) zerosZeros
V546 has 63877 (86.7%) zerosZeros
V547 has 36804 (50.0%) zerosZeros
V548 has 22771 (30.9%) zerosZeros
V549 has 37529 (50.9%) zerosZeros
V550 has 56912 (77.3%) zerosZeros
V551 has 67494 (91.6%) zerosZeros
V552 has 71130 (96.6%) zerosZeros
V553 has 72329 (98.2%) zerosZeros
V554 has 72784 (98.8%) zerosZeros
V555 has 72942 (99.0%) zerosZeros
V556 has 70806 (96.1%) zerosZeros
V557 has 19727 (26.8%) zerosZeros
V558 has 71250 (96.7%) zerosZeros
V559 has 68558 (93.1%) zerosZeros
V560 has 68227 (92.6%) zerosZeros
V561 has 70859 (96.2%) zerosZeros
V562 has 72479 (98.4%) zerosZeros
V563 has 73181 (99.3%) zerosZeros
V564 has 73383 (99.6%) zerosZeros
V565 has 73517 (99.8%) zerosZeros
V566 has 73566 (99.9%) zerosZeros
V567 has 73277 (99.5%) zerosZeros
V568 has 64874 (88.1%) zerosZeros

Reproduction

Analysis started2024-03-10 02:14:19.701939
Analysis finished2024-03-10 02:14:21.842689
Duration2.14 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

V366
Real number (ℝ)

SKEWED  ZEROS 

Distinct1024
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.85158085
Minimum0
Maximum85957
Zeros8611
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:21.999538image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q364
95-th percentile249
Maximum85957
Range85957
Interquartile range (IQR)52

Descriptive statistics

Standard deviation520.9391248
Coefficient of variation (CV)7.566117123
Kurtosis17215.4876
Mean68.85158085
Median Absolute Deviation (MAD)19
Skewness122.9481907
Sum5071814
Variance271377.5718
MonotonicityNot monotonic
2024-03-09T21:14:22.253670image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8611
 
11.7%
12 1560
 
2.1%
14 1521
 
2.1%
15 1509
 
2.0%
16 1507
 
2.0%
11 1456
 
2.0%
17 1434
 
1.9%
10 1426
 
1.9%
13 1416
 
1.9%
18 1356
 
1.8%
Other values (1014) 51867
70.4%
ValueCountFrequency (%)
0 8611
11.7%
1 246
 
0.3%
2 322
 
0.4%
3 399
 
0.5%
4 542
 
0.7%
ValueCountFrequency (%)
85957 1
< 0.1%
67440 1
< 0.1%
56671 1
< 0.1%
53315 1
< 0.1%
14583 1
< 0.1%

V367
Real number (ℝ)

SKEWED  ZEROS 

Distinct673
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.50407939
Minimum0
Maximum40065
Zeros8809
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:22.517193image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median13
Q333
95-th percentile122.9
Maximum40065
Range40065
Interquartile range (IQR)27

Descriptive statistics

Standard deviation303.5497235
Coefficient of variation (CV)8.549713969
Kurtosis13113.71961
Mean35.50407939
Median Absolute Deviation (MAD)10
Skewness108.0325828
Sum2615337
Variance92142.43464
MonotonicityNot monotonic
2024-03-09T21:14:22.816879image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8809
 
12.0%
6 2792
 
3.8%
8 2723
 
3.7%
7 2705
 
3.7%
5 2702
 
3.7%
9 2538
 
3.4%
10 2443
 
3.3%
4 2440
 
3.3%
11 2295
 
3.1%
12 2017
 
2.7%
Other values (663) 42199
57.3%
ValueCountFrequency (%)
0 8809
12.0%
1 1025
 
1.4%
2 1488
 
2.0%
3 1940
 
2.6%
4 2440
 
3.3%
ValueCountFrequency (%)
40065 1
< 0.1%
39762 1
< 0.1%
35561 1
< 0.1%
34661 1
< 0.1%
14061 1
< 0.1%

V368
Real number (ℝ)

SKEWED  ZEROS 

Distinct707
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.36381901
Minimum0
Maximum71561
Zeros8981
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:23.089708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median13
Q333
95-th percentile137
Maximum71561
Range71561
Interquartile range (IQR)27

Descriptive statistics

Standard deviation489.1617995
Coefficient of variation (CV)12.42668551
Kurtosis16219.68281
Mean39.36381901
Median Absolute Deviation (MAD)10
Skewness123.0793088
Sum2899657
Variance239279.266
MonotonicityNot monotonic
2024-03-09T21:14:23.358746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8981
 
12.2%
7 2796
 
3.8%
8 2773
 
3.8%
6 2654
 
3.6%
5 2569
 
3.5%
9 2545
 
3.5%
10 2460
 
3.3%
4 2309
 
3.1%
11 2239
 
3.0%
12 2123
 
2.9%
Other values (697) 42214
57.3%
ValueCountFrequency (%)
0 8981
12.2%
1 894
 
1.2%
2 1414
 
1.9%
3 1898
 
2.6%
4 2309
 
3.1%
ValueCountFrequency (%)
71561 1
< 0.1%
65650 1
< 0.1%
60984 1
< 0.1%
55945 1
< 0.1%
15783 1
< 0.1%

V369
Real number (ℝ)

SKEWED  ZEROS 

Distinct1072
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.8678984
Minimum0
Maximum111626
Zeros8348
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:23.628914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q366
95-th percentile258
Maximum111626
Range111626
Interquartile range (IQR)54

Descriptive statistics

Standard deviation789.9114508
Coefficient of variation (CV)10.55073627
Kurtosis15008.60683
Mean74.8678984
Median Absolute Deviation (MAD)19
Skewness117.4329893
Sum5514994
Variance623960.1001
MonotonicityNot monotonic
2024-03-09T21:14:23.899097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8348
 
11.3%
12 1551
 
2.1%
15 1499
 
2.0%
16 1497
 
2.0%
14 1490
 
2.0%
11 1427
 
1.9%
13 1423
 
1.9%
17 1418
 
1.9%
10 1408
 
1.9%
18 1367
 
1.9%
Other values (1062) 52235
70.9%
ValueCountFrequency (%)
0 8348
11.3%
1 267
 
0.4%
2 306
 
0.4%
3 398
 
0.5%
4 527
 
0.7%
ValueCountFrequency (%)
111626 1
< 0.1%
100746 1
< 0.1%
100311 1
< 0.1%
91506 1
< 0.1%
29549 1
< 0.1%

V370
Real number (ℝ)

SKEWED  ZEROS 

Distinct180
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9765825448
Minimum0
Maximum4437
Zeros65453
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:24.150153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4437
Range4437
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.36736055
Coefficient of variation (CV)25.97564403
Kurtosis20848.70641
Mean0.9765825448
Median Absolute Deviation (MAD)0
Skewness135.0038079
Sum71938
Variance643.5029813
MonotonicityNot monotonic
2024-03-09T21:14:24.422484image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65453
88.9%
1 3707
 
5.0%
2 1384
 
1.9%
3 709
 
1.0%
4 416
 
0.6%
5 311
 
0.4%
6 203
 
0.3%
7 153
 
0.2%
8 150
 
0.2%
10 110
 
0.1%
Other values (170) 1067
 
1.4%
ValueCountFrequency (%)
0 65453
88.9%
1 3707
 
5.0%
2 1384
 
1.9%
3 709
 
1.0%
4 416
 
0.6%
ValueCountFrequency (%)
4437 1
< 0.1%
3572 1
< 0.1%
3044 1
< 0.1%
445 1
< 0.1%
435 1
< 0.1%

V371
Real number (ℝ)

SKEWED  ZEROS 

Distinct188
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.699211273
Minimum0
Maximum5503
Zeros65115
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:24.655809image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum5503
Range5503
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.56411364
Coefficient of variation (CV)10.58239269
Kurtosis21759.24032
Mean2.699211273
Median Absolute Deviation (MAD)0
Skewness128.7751305
Sum198832
Variance815.9085882
MonotonicityNot monotonic
2024-03-09T21:14:24.924866image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65115
88.4%
1 1146
 
1.6%
2 577
 
0.8%
3 355
 
0.5%
5 278
 
0.4%
4 277
 
0.4%
10 229
 
0.3%
8 222
 
0.3%
6 219
 
0.3%
20 215
 
0.3%
Other values (178) 5030
 
6.8%
ValueCountFrequency (%)
0 65115
88.4%
1 1146
 
1.6%
2 577
 
0.8%
3 355
 
0.5%
4 277
 
0.4%
ValueCountFrequency (%)
5503 1
< 0.1%
3203 1
< 0.1%
2420 1
< 0.1%
1886 1
< 0.1%
365 1
< 0.1%

V372
Real number (ℝ)

SKEWED  ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.020960319
Minimum0
Maximum395
Zeros52786
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:25.195829image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum395
Range395
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.243903832
Coefficient of variation (CV)4.15677647
Kurtosis1891.30461
Mean1.020960319
Median Absolute Deviation (MAD)0
Skewness30.83165434
Sum75207
Variance18.01071974
MonotonicityNot monotonic
2024-03-09T21:14:25.505607image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52786
71.7%
1 8464
 
11.5%
2 4309
 
5.8%
3 2388
 
3.2%
4 1469
 
2.0%
5 990
 
1.3%
6 699
 
0.9%
7 548
 
0.7%
8 381
 
0.5%
9 267
 
0.4%
Other values (84) 1362
 
1.8%
ValueCountFrequency (%)
0 52786
71.7%
1 8464
 
11.5%
2 4309
 
5.8%
3 2388
 
3.2%
4 1469
 
2.0%
ValueCountFrequency (%)
395 1
< 0.1%
274 1
< 0.1%
267 1
< 0.1%
242 1
< 0.1%
233 1
< 0.1%

V373
Real number (ℝ)

SKEWED  ZEROS 

Distinct104
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.672101326
Minimum0
Maximum9842
Zeros8343
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:25.798280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile7
Maximum9842
Range9842
Interquartile range (IQR)1

Descriptive statistics

Standard deviation60.60760849
Coefficient of variation (CV)22.68162809
Kurtosis20555.46123
Mean2.672101326
Median Absolute Deviation (MAD)0
Skewness140.2908623
Sum196835
Variance3673.282207
MonotonicityNot monotonic
2024-03-09T21:14:26.065906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 37786
51.3%
2 10978
 
14.9%
0 8343
 
11.3%
3 5886
 
8.0%
4 3219
 
4.4%
5 2170
 
2.9%
6 1408
 
1.9%
7 843
 
1.1%
8 648
 
0.9%
9 458
 
0.6%
Other values (94) 1924
 
2.6%
ValueCountFrequency (%)
0 8343
 
11.3%
1 37786
51.3%
2 10978
 
14.9%
3 5886
 
8.0%
4 3219
 
4.4%
ValueCountFrequency (%)
9842 1
< 0.1%
9107 1
< 0.1%
7689 1
< 0.1%
5135 1
< 0.1%
1275 1
< 0.1%

V374
Real number (ℝ)

SKEWED  ZEROS 

Distinct555
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.35776441
Minimum0
Maximum23241
Zeros10478
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:26.300819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q327
95-th percentile100
Maximum23241
Range23241
Interquartile range (IQR)23

Descriptive statistics

Standard deviation150.3092046
Coefficient of variation (CV)5.49420641
Kurtosis13192.22847
Mean27.35776441
Median Absolute Deviation (MAD)8
Skewness102.1836587
Sum2015255
Variance22592.85699
MonotonicityNot monotonic
2024-03-09T21:14:26.573662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10478
 
14.2%
5 3134
 
4.3%
6 3118
 
4.2%
4 3046
 
4.1%
7 3030
 
4.1%
8 2828
 
3.8%
3 2721
 
3.7%
9 2541
 
3.4%
10 2409
 
3.3%
2 2158
 
2.9%
Other values (545) 38200
51.9%
ValueCountFrequency (%)
0 10478
14.2%
1 1460
 
2.0%
2 2158
 
2.9%
3 2721
 
3.7%
4 3046
 
4.1%
ValueCountFrequency (%)
23241 1
< 0.1%
18994 1
< 0.1%
13612 1
< 0.1%
13568 1
< 0.1%
9235 1
< 0.1%

V375
Real number (ℝ)

SKEWED  ZEROS 

Distinct617
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.87664092
Minimum0
Maximum40236
Zeros10398
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:27.529962image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q329
95-th percentile120
Maximum40236
Range40236
Interquartile range (IQR)25

Descriptive statistics

Standard deviation250.2052095
Coefficient of variation (CV)7.849171125
Kurtosis16540.5791
Mean31.87664092
Median Absolute Deviation (MAD)9
Skewness120.8320217
Sum2348129
Variance62602.64685
MonotonicityNot monotonic
2024-03-09T21:14:27.844413image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10398
 
14.1%
5 3134
 
4.3%
6 3046
 
4.1%
7 2983
 
4.0%
8 2824
 
3.8%
4 2747
 
3.7%
9 2665
 
3.6%
3 2445
 
3.3%
10 2376
 
3.2%
11 2072
 
2.8%
Other values (607) 38973
52.9%
ValueCountFrequency (%)
0 10398
14.1%
1 1216
 
1.7%
2 1804
 
2.4%
3 2445
 
3.3%
4 2747
 
3.7%
ValueCountFrequency (%)
40236 1
< 0.1%
32227 1
< 0.1%
28833 1
< 0.1%
24983 1
< 0.1%
10313 1
< 0.1%

V376
Real number (ℝ)

SKEWED  ZEROS 

Distinct940
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.23440533
Minimum0
Maximum63477
Zeros9746
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:28.111487image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median22
Q355
95-th percentile219
Maximum63477
Range63477
Interquartile range (IQR)46

Descriptive statistics

Standard deviation398.5533479
Coefficient of variation (CV)6.728409708
Kurtosis15395.81086
Mean59.23440533
Median Absolute Deviation (MAD)17
Skewness114.4070746
Sum4363384
Variance158844.7711
MonotonicityNot monotonic
2024-03-09T21:14:28.383903image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9746
 
13.2%
12 1727
 
2.3%
13 1717
 
2.3%
10 1706
 
2.3%
11 1646
 
2.2%
14 1642
 
2.2%
8 1641
 
2.2%
15 1594
 
2.2%
9 1536
 
2.1%
16 1511
 
2.1%
Other values (930) 49197
66.8%
ValueCountFrequency (%)
0 9746
13.2%
1 268
 
0.4%
2 409
 
0.6%
3 589
 
0.8%
4 801
 
1.1%
ValueCountFrequency (%)
63477 1
< 0.1%
51221 1
< 0.1%
42445 1
< 0.1%
38551 1
< 0.1%
19548 1
< 0.1%

V377
Real number (ℝ)

SKEWED  ZEROS 

Distinct110
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6114059976
Minimum0
Maximum2668
Zeros66852
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:28.634941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2668
Range2668
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.65785914
Coefficient of variation (CV)23.97401922
Kurtosis22907.06216
Mean0.6114059976
Median Absolute Deviation (MAD)0
Skewness143.2208295
Sum45038
Variance214.8528345
MonotonicityNot monotonic
2024-03-09T21:14:28.939008image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66852
90.8%
1 3085
 
4.2%
2 1122
 
1.5%
3 587
 
0.8%
4 357
 
0.5%
5 253
 
0.3%
6 184
 
0.2%
7 137
 
0.2%
8 117
 
0.2%
9 83
 
0.1%
Other values (100) 886
 
1.2%
ValueCountFrequency (%)
0 66852
90.8%
1 3085
 
4.2%
2 1122
 
1.5%
3 587
 
0.8%
4 357
 
0.5%
ValueCountFrequency (%)
2668 1
< 0.1%
2027 1
< 0.1%
1796 1
< 0.1%
279 1
< 0.1%
217 1
< 0.1%

V378
Real number (ℝ)

SKEWED  ZEROS 

Distinct178
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.299566947
Minimum0
Maximum3399
Zeros65657
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:29.191009image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum3399
Range3399
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.80883616
Coefficient of variation (CV)8.179294881
Kurtosis15768.29922
Mean2.299566947
Median Absolute Deviation (MAD)0
Skewness99.39046064
Sum169393
Variance353.7723176
MonotonicityNot monotonic
2024-03-09T21:14:29.472543image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65657
89.1%
1 976
 
1.3%
2 517
 
0.7%
3 349
 
0.5%
4 313
 
0.4%
5 272
 
0.4%
10 248
 
0.3%
12 228
 
0.3%
6 227
 
0.3%
8 219
 
0.3%
Other values (168) 4657
 
6.3%
ValueCountFrequency (%)
0 65657
89.1%
1 976
 
1.3%
2 517
 
0.7%
3 349
 
0.5%
4 313
 
0.4%
ValueCountFrequency (%)
3399 1
< 0.1%
1454 1
< 0.1%
1426 1
< 0.1%
1361 1
< 0.1%
664 1
< 0.1%

V379
Real number (ℝ)

SKEWED  ZEROS 

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6489553779
Minimum0
Maximum223
Zeros59783
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:29.730086image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum223
Range223
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.276132165
Coefficient of variation (CV)5.048316536
Kurtosis1375.173033
Mean0.6489553779
Median Absolute Deviation (MAD)0
Skewness27.99861927
Sum47804
Variance10.73304196
MonotonicityNot monotonic
2024-03-09T21:14:29.996584image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59783
81.2%
1 5937
 
8.1%
2 2874
 
3.9%
3 1491
 
2.0%
4 1004
 
1.4%
5 642
 
0.9%
6 418
 
0.6%
7 327
 
0.4%
8 236
 
0.3%
9 146
 
0.2%
Other values (63) 805
 
1.1%
ValueCountFrequency (%)
0 59783
81.2%
1 5937
 
8.1%
2 2874
 
3.9%
3 1491
 
2.0%
4 1004
 
1.4%
ValueCountFrequency (%)
223 1
< 0.1%
218 1
< 0.1%
202 1
< 0.1%
200 1
< 0.1%
185 1
< 0.1%

V380
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.241912493
Minimum0
Maximum4373
Zeros9743
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:30.247650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile6
Maximum4373
Range4373
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.70209688
Coefficient of variation (CV)12.80250543
Kurtosis18520.64647
Mean2.241912493
Median Absolute Deviation (MAD)0
Skewness132.5935237
Sum165146
Variance823.8103652
MonotonicityNot monotonic
2024-03-09T21:14:30.505481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 37613
51.1%
2 10968
 
14.9%
0 9743
 
13.2%
3 5735
 
7.8%
4 3165
 
4.3%
5 1980
 
2.7%
6 1224
 
1.7%
7 762
 
1.0%
8 560
 
0.8%
9 437
 
0.6%
Other values (82) 1476
 
2.0%
ValueCountFrequency (%)
0 9743
 
13.2%
1 37613
51.1%
2 10968
 
14.9%
3 5735
 
7.8%
4 3165
 
4.3%
ValueCountFrequency (%)
4373 1
< 0.1%
4274 1
< 0.1%
3525 1
< 0.1%
2933 1
< 0.1%
567 1
< 0.1%

V381
Real number (ℝ)

SKEWED  ZEROS 

Distinct465
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.36983289
Minimum0
Maximum12571
Zeros16560
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:30.771944image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q321
95-th percentile85
Maximum12571
Range12571
Interquartile range (IQR)19

Descriptive statistics

Standard deviation80.61545535
Coefficient of variation (CV)3.772395216
Kurtosis13235.70855
Mean21.36983289
Median Absolute Deviation (MAD)8
Skewness92.87176785
Sum1574166
Variance6498.851642
MonotonicityNot monotonic
2024-03-09T21:14:31.058522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16560
22.5%
4 3185
 
4.3%
5 3184
 
4.3%
6 3102
 
4.2%
3 2930
 
4.0%
7 2847
 
3.9%
8 2518
 
3.4%
2 2401
 
3.3%
9 2381
 
3.2%
10 2100
 
2.9%
Other values (455) 32455
44.1%
ValueCountFrequency (%)
0 16560
22.5%
1 1654
 
2.2%
2 2401
 
3.3%
3 2930
 
4.0%
4 3185
 
4.3%
ValueCountFrequency (%)
12571 1
< 0.1%
11279 1
< 0.1%
2291 1
< 0.1%
2255 1
< 0.1%
2254 1
< 0.1%

V382
Real number (ℝ)

SKEWED  ZEROS 

Distinct533
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.49805194
Minimum0
Maximum23440
Zeros16426
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:31.311545image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q323
95-th percentile106
Maximum23440
Range23440
Interquartile range (IQR)21

Descriptive statistics

Standard deviation128.3344563
Coefficient of variation (CV)5.033108277
Kurtosis23309.81767
Mean25.49805194
Median Absolute Deviation (MAD)9
Skewness136.3453035
Sum1878263
Variance16469.73266
MonotonicityNot monotonic
2024-03-09T21:14:31.589972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16426
22.3%
5 3174
 
4.3%
7 2929
 
4.0%
6 2921
 
4.0%
4 2889
 
3.9%
8 2578
 
3.5%
3 2548
 
3.5%
9 2374
 
3.2%
10 2130
 
2.9%
2 1938
 
2.6%
Other values (523) 33756
45.8%
ValueCountFrequency (%)
0 16426
22.3%
1 1231
 
1.7%
2 1938
 
2.6%
3 2548
 
3.5%
4 2889
 
3.9%
ValueCountFrequency (%)
23440 1
< 0.1%
20176 1
< 0.1%
2411 1
< 0.1%
2154 1
< 0.1%
2126 1
< 0.1%

V383
Real number (ℝ)

SKEWED  ZEROS 

Distinct821
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.86788483
Minimum0
Maximum36011
Zeros15746
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:31.833906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median17
Q345
95-th percentile190
Maximum36011
Range36011
Interquartile range (IQR)40

Descriptive statistics

Standard deviation207.3634512
Coefficient of variation (CV)4.42442521
Kurtosis19464.4599
Mean46.86788483
Median Absolute Deviation (MAD)17
Skewness120.3239595
Sum3452429
Variance42999.60088
MonotonicityNot monotonic
2024-03-09T21:14:32.116246image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15746
 
21.4%
10 1775
 
2.4%
12 1728
 
2.3%
9 1691
 
2.3%
11 1662
 
2.3%
8 1659
 
2.3%
13 1615
 
2.2%
14 1609
 
2.2%
7 1602
 
2.2%
15 1485
 
2.0%
Other values (811) 43091
58.5%
ValueCountFrequency (%)
0 15746
21.4%
1 242
 
0.3%
2 439
 
0.6%
3 678
 
0.9%
4 937
 
1.3%
ValueCountFrequency (%)
36011 1
< 0.1%
31455 1
< 0.1%
4666 1
< 0.1%
4397 1
< 0.1%
4343 1
< 0.1%

V384
Real number (ℝ)

SKEWED  ZEROS 

Distinct109
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4871102182
Minimum0
Maximum1852
Zeros67882
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:32.372212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1852
Range1852
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.027708449
Coefficient of variation (CV)16.4802711
Kurtosis38468.6579
Mean0.4871102182
Median Absolute Deviation (MAD)0
Skewness169.7942851
Sum35882
Variance64.44410295
MonotonicityNot monotonic
2024-03-09T21:14:32.640942image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67882
92.2%
1 2702
 
3.7%
2 933
 
1.3%
3 474
 
0.6%
4 297
 
0.4%
5 199
 
0.3%
6 140
 
0.2%
7 120
 
0.2%
8 110
 
0.1%
9 75
 
0.1%
Other values (99) 731
 
1.0%
ValueCountFrequency (%)
0 67882
92.2%
1 2702
 
3.7%
2 933
 
1.3%
3 474
 
0.6%
4 297
 
0.4%
ValueCountFrequency (%)
1852 1
< 0.1%
219 1
< 0.1%
201 1
< 0.1%
198 1
< 0.1%
189 2
< 0.1%

V385
Real number (ℝ)

SKEWED  ZEROS 

Distinct166
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.037250723
Minimum0
Maximum1854
Zeros65906
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:32.923604image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13
Maximum1854
Range1854
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.63134243
Coefficient of variation (CV)6.691048029
Kurtosis8746.836362
Mean2.037250723
Median Absolute Deviation (MAD)0
Skewness68.6876223
Sum150070
Variance185.8134966
MonotonicityNot monotonic
2024-03-09T21:14:33.210730image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65906
89.5%
1 937
 
1.3%
2 507
 
0.7%
3 346
 
0.5%
4 310
 
0.4%
5 285
 
0.4%
10 275
 
0.4%
7 251
 
0.3%
6 247
 
0.3%
11 222
 
0.3%
Other values (156) 4377
 
5.9%
ValueCountFrequency (%)
0 65906
89.5%
1 937
 
1.3%
2 507
 
0.7%
3 346
 
0.5%
4 310
 
0.4%
ValueCountFrequency (%)
1854 1
< 0.1%
1797 1
< 0.1%
322 1
< 0.1%
306 1
< 0.1%
289 1
< 0.1%

V386
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4951603926
Minimum0
Maximum225
Zeros62305
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:33.488719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum225
Range225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.861528806
Coefficient of variation (CV)5.778993734
Kurtosis1815.957032
Mean0.4951603926
Median Absolute Deviation (MAD)0
Skewness32.35343199
Sum36475
Variance8.188347108
MonotonicityNot monotonic
2024-03-09T21:14:33.735118image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62305
84.6%
1 5228
 
7.1%
2 2352
 
3.2%
3 1162
 
1.6%
4 774
 
1.1%
5 492
 
0.7%
6 309
 
0.4%
7 207
 
0.3%
8 163
 
0.2%
9 99
 
0.1%
Other values (61) 572
 
0.8%
ValueCountFrequency (%)
0 62305
84.6%
1 5228
 
7.1%
2 2352
 
3.2%
3 1162
 
1.6%
4 774
 
1.1%
ValueCountFrequency (%)
225 1
< 0.1%
217 1
< 0.1%
197 1
< 0.1%
162 1
< 0.1%
145 1
< 0.1%

V387
Real number (ℝ)

SKEWED  ZEROS 

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.821077067
Minimum0
Maximum2389
Zeros15744
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:34.002006image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum2389
Range2389
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.08277573
Coefficient of variation (CV)7.184086807
Kurtosis28926.78362
Mean1.821077067
Median Absolute Deviation (MAD)1
Skewness161.8005722
Sum134146
Variance171.1590209
MonotonicityNot monotonic
2024-03-09T21:14:34.268229image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 34595
47.0%
0 15744
21.4%
2 9282
 
12.6%
3 4708
 
6.4%
4 4025
 
5.5%
5 1634
 
2.2%
6 1087
 
1.5%
7 693
 
0.9%
8 517
 
0.7%
9 333
 
0.5%
Other values (69) 1045
 
1.4%
ValueCountFrequency (%)
0 15744
21.4%
1 34595
47.0%
2 9282
 
12.6%
3 4708
 
6.4%
4 4025
 
5.5%
ValueCountFrequency (%)
2389 1
< 0.1%
2339 1
< 0.1%
483 1
< 0.1%
413 1
< 0.1%
294 1
< 0.1%

V388
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004235504935
Minimum0
Maximum87
Zeros73649
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:34.505573image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4498208206
Coefficient of variation (CV)106.2024074
Kurtosis23240.6456
Mean0.004235504935
Median Absolute Deviation (MAD)0
Skewness142.2292165
Sum312
Variance0.2023387706
MonotonicityNot monotonic
2024-03-09T21:14:34.697360image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 73649
> 99.9%
6 2
 
< 0.1%
1 2
 
< 0.1%
45 1
 
< 0.1%
87 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
4 1
 
< 0.1%
50 1
 
< 0.1%
32 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 73649
> 99.9%
1 2
 
< 0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
87 1
< 0.1%
50 1
< 0.1%
45 1
< 0.1%
34 1
< 0.1%
32 1
< 0.1%

V389
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004330532289
Minimum0
Maximum103
Zeros73651
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:34.897569image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum103
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5168237277
Coefficient of variation (CV)119.3441575
Kurtosis26758.36975
Mean0.004330532289
Median Absolute Deviation (MAD)0
Skewness155.0359991
Sum319
Variance0.2671067655
MonotonicityNot monotonic
2024-03-09T21:14:35.122199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 73651
> 99.9%
65 1
 
< 0.1%
103 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
2 1
 
< 0.1%
55 1
 
< 0.1%
1 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 73651
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
103 1
< 0.1%
65 1
< 0.1%
55 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%

V390
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008566037224
Minimum0
Maximum190
Zeros73649
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:35.299516image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum190
Range190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9631391253
Coefficient of variation (CV)112.4369531
Kurtosis25206.28032
Mean0.008566037224
Median Absolute Deviation (MAD)0
Skewness149.1989205
Sum631
Variance0.9276369747
MonotonicityNot monotonic
2024-03-09T21:14:35.524585image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73649
> 99.9%
6 2
 
< 0.1%
110 1
 
< 0.1%
190 1
 
< 0.1%
19 1
 
< 0.1%
22 1
 
< 0.1%
105 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
58 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73649
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
190 1
< 0.1%
110 1
< 0.1%
105 1
< 0.1%
62 1
< 0.1%
58 1
< 0.1%

V391
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000990999552
Minimum0
Maximum58
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:35.713537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2207296116
Coefficient of variation (CV)222.7343202
Kurtosis65005.46233
Mean0.000990999552
Median Absolute Deviation (MAD)0
Skewness250.5504628
Sum73
Variance0.04872156142
MonotonicityNot monotonic
2024-03-09T21:14:35.902289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
58 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
15 1
 
< 0.1%
58 1
 
< 0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
15 1
 
< 0.1%
0 73661
> 99.9%

V392
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros73663
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:36.101136image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-09T21:14:36.278653image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%
ValueCountFrequency (%)
0 73663
100.0%

V393
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006651914801
Minimum0
Maximum49
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:36.456745image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.180539144
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean0.0006651914801
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum49
Variance0.03259438253
MonotonicityNot monotonic
2024-03-09T21:14:36.630650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
49 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
49 1
 
< 0.1%
ValueCountFrequency (%)
49 1
 
< 0.1%
0 73662
> 99.9%

V394
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004479860989
Minimum0
Maximum9
Zeros73649
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:36.836205image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04466990975
Coefficient of variation (CV)99.712714
Kurtosis25779.55515
Mean0.0004479860989
Median Absolute Deviation (MAD)0
Skewness147.556481
Sum33
Variance0.001995400837
MonotonicityNot monotonic
2024-03-09T21:14:37.043186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73649
> 99.9%
1 8
 
< 0.1%
2 2
 
< 0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73649
> 99.9%
1 8
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
9 1
< 0.1%
5 1
< 0.1%
4 1
< 0.1%
3 1
< 0.1%
2 2
< 0.1%

V395
Real number (ℝ)

SKEWED  ZEROS 

Distinct1217
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.36452493
Minimum0
Maximum64912
Zeros5993
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:37.265399image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median33
Q383
95-th percentile310
Maximum64912
Range64912
Interquartile range (IQR)67

Descriptive statistics

Standard deviation507.2537329
Coefficient of variation (CV)5.740468059
Kurtosis11335.72916
Mean88.36452493
Median Absolute Deviation (MAD)23
Skewness96.32427683
Sum6509196
Variance257306.3495
MonotonicityNot monotonic
2024-03-09T21:14:37.537539image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5993
 
8.1%
16 1258
 
1.7%
17 1227
 
1.7%
19 1224
 
1.7%
18 1219
 
1.7%
14 1205
 
1.6%
15 1198
 
1.6%
20 1181
 
1.6%
21 1165
 
1.6%
22 1162
 
1.6%
Other values (1207) 56831
77.1%
ValueCountFrequency (%)
0 5993
8.1%
1 348
 
0.5%
2 345
 
0.5%
3 469
 
0.6%
4 547
 
0.7%
ValueCountFrequency (%)
64912 1
< 0.1%
60844 1
< 0.1%
58802 1
< 0.1%
58756 1
< 0.1%
18750 1
< 0.1%

V396
Real number (ℝ)

SKEWED  ZEROS 

Distinct1374
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.7711741
Minimum0
Maximum117923
Zeros6167
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:37.804681image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median34
Q388
95-th percentile369
Maximum117923
Range117923
Interquartile range (IQR)72

Descriptive statistics

Standard deviation827.4071354
Coefficient of variation (CV)8.210752157
Kurtosis15592.846
Mean100.7711741
Median Absolute Deviation (MAD)24
Skewness118.5333166
Sum7423107
Variance684602.5677
MonotonicityNot monotonic
2024-03-09T21:14:38.056134image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6167
 
8.4%
19 1291
 
1.8%
20 1210
 
1.6%
18 1190
 
1.6%
23 1178
 
1.6%
17 1174
 
1.6%
22 1162
 
1.6%
16 1160
 
1.6%
21 1152
 
1.6%
15 1142
 
1.6%
Other values (1364) 56837
77.2%
ValueCountFrequency (%)
0 6167
8.4%
1 332
 
0.5%
2 353
 
0.5%
3 440
 
0.6%
4 474
 
0.6%
ValueCountFrequency (%)
117923 1
< 0.1%
116720 1
< 0.1%
96181 1
< 0.1%
93211 1
< 0.1%
18187 1
< 0.1%

V397
Real number (ℝ)

SKEWED  ZEROS 

Distinct2052
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.1356991
Minimum0
Maximum181632
Zeros5771
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:38.323100image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median67
Q3171
95-th percentile676
Maximum181632
Range181632
Interquartile range (IQR)138

Descriptive statistics

Standard deviation1328.629189
Coefficient of variation (CV)7.024740414
Kurtosis13984.62392
Mean189.1356991
Median Absolute Deviation (MAD)46
Skewness110.5052139
Sum13932303
Variance1765255.522
MonotonicityNot monotonic
2024-03-09T21:14:38.579968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5771
 
7.8%
40 691
 
0.9%
35 680
 
0.9%
33 667
 
0.9%
38 667
 
0.9%
31 654
 
0.9%
32 654
 
0.9%
39 653
 
0.9%
36 652
 
0.9%
37 650
 
0.9%
Other values (2042) 61924
84.1%
ValueCountFrequency (%)
0 5771
7.8%
1 176
 
0.2%
2 132
 
0.2%
3 147
 
0.2%
4 161
 
0.2%
ValueCountFrequency (%)
181632 1
< 0.1%
178767 1
< 0.1%
154983 1
< 0.1%
151967 1
< 0.1%
36937 1
< 0.1%

V398
Real number (ℝ)

SKEWED  ZEROS 

Distinct265
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.532031006
Minimum0
Maximum6692
Zeros60526
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:39.628388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6692
Range6692
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.42873776
Coefficient of variation (CV)17.54667998
Kurtosis18331.29407
Mean2.532031006
Median Absolute Deviation (MAD)0
Skewness126.5893626
Sum186517
Variance1973.912739
MonotonicityNot monotonic
2024-03-09T21:14:39.894898image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60526
82.2%
1 4699
 
6.4%
2 2122
 
2.9%
3 1103
 
1.5%
4 731
 
1.0%
5 467
 
0.6%
6 354
 
0.5%
7 306
 
0.4%
8 222
 
0.3%
9 198
 
0.3%
Other values (255) 2935
 
4.0%
ValueCountFrequency (%)
0 60526
82.2%
1 4699
 
6.4%
2 2122
 
2.9%
3 1103
 
1.5%
4 731
 
1.0%
ValueCountFrequency (%)
6692 1
< 0.1%
6464 1
< 0.1%
6240 1
< 0.1%
721 1
< 0.1%
654 1
< 0.1%

V399
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.038934065
Minimum0
Maximum8902
Zeros63808
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:40.161847image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum8902
Range8902
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.89384771
Coefficient of variation (CV)7.940669311
Kurtosis11734.95057
Mean7.038934065
Median Absolute Deviation (MAD)0
Skewness88.44611499
Sum518509
Variance3124.122211
MonotonicityNot monotonic
2024-03-09T21:14:40.439200image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63808
86.6%
1 1208
 
1.6%
2 627
 
0.9%
3 392
 
0.5%
4 289
 
0.4%
5 207
 
0.3%
6 169
 
0.2%
9 157
 
0.2%
7 154
 
0.2%
8 145
 
0.2%
Other values (388) 6507
 
8.8%
ValueCountFrequency (%)
0 63808
86.6%
1 1208
 
1.6%
2 627
 
0.9%
3 392
 
0.5%
4 289
 
0.4%
ValueCountFrequency (%)
8902 1
< 0.1%
5671 1
< 0.1%
5166 1
< 0.1%
4564 1
< 0.1%
1059 1
< 0.1%

V400
Real number (ℝ)

SKEWED  ZEROS 

Distinct156
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.202448991
Minimum0
Maximum757
Zeros47897
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:40.686196image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum757
Range757
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.938104911
Coefficient of variation (CV)4.512297426
Kurtosis1760.047779
Mean2.202448991
Median Absolute Deviation (MAD)0
Skewness31.4212457
Sum162239
Variance98.76592922
MonotonicityNot monotonic
2024-03-09T21:14:40.953896image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47897
65.0%
1 7667
 
10.4%
2 4535
 
6.2%
3 2860
 
3.9%
4 1961
 
2.7%
5 1457
 
2.0%
6 1100
 
1.5%
7 844
 
1.1%
8 683
 
0.9%
9 569
 
0.8%
Other values (146) 4090
 
5.6%
ValueCountFrequency (%)
0 47897
65.0%
1 7667
 
10.4%
2 4535
 
6.2%
3 2860
 
3.9%
4 1961
 
2.7%
ValueCountFrequency (%)
757 1
< 0.1%
701 1
< 0.1%
682 2
< 0.1%
563 1
< 0.1%
410 1
< 0.1%

V401
Real number (ℝ)

SKEWED  ZEROS 

Distinct167
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.750648222
Minimum0
Maximum15770
Zeros6670
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:41.242464image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q36
95-th percentile18
Maximum15770
Range15770
Interquartile range (IQR)3

Descriptive statistics

Standard deviation99.21928578
Coefficient of variation (CV)14.69774198
Kurtosis20709.87472
Mean6.750648222
Median Absolute Deviation (MAD)1
Skewness140.08473
Sum497273
Variance9844.466671
MonotonicityNot monotonic
2024-03-09T21:14:41.512124image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 31807
43.2%
6 6799
 
9.2%
0 6670
 
9.1%
4 3478
 
4.7%
9 3014
 
4.1%
2 3012
 
4.1%
5 2950
 
4.0%
1 2099
 
2.8%
12 1748
 
2.4%
8 1666
 
2.3%
Other values (157) 10420
 
14.1%
ValueCountFrequency (%)
0 6670
 
9.1%
1 2099
 
2.8%
2 3012
 
4.1%
3 31807
43.2%
4 3478
 
4.7%
ValueCountFrequency (%)
15770 1
< 0.1%
15706 1
< 0.1%
12062 1
< 0.1%
8068 1
< 0.1%
1789 1
< 0.1%

V402
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.81958378
Minimum0
Maximum518
Zeros28972
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:41.822337image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile25
Maximum518
Range518
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.38692155
Coefficient of variation (CV)2.64399004
Kurtosis226.3752585
Mean5.81958378
Median Absolute Deviation (MAD)2
Skewness11.57670071
Sum428688
Variance236.7573548
MonotonicityNot monotonic
2024-03-09T21:14:42.121836image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28972
39.3%
1 7600
 
10.3%
2 6343
 
8.6%
3 4996
 
6.8%
4 3938
 
5.3%
5 3008
 
4.1%
6 2257
 
3.1%
7 1811
 
2.5%
8 1522
 
2.1%
9 1272
 
1.7%
Other values (228) 11944
16.2%
ValueCountFrequency (%)
0 28972
39.3%
1 7600
 
10.3%
2 6343
 
8.6%
3 4996
 
6.8%
4 3938
 
5.3%
ValueCountFrequency (%)
518 1
< 0.1%
490 1
< 0.1%
438 1
< 0.1%
429 1
< 0.1%
420 1
< 0.1%

V403
Real number (ℝ)

ZEROS 

Distinct450
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.36980574
Minimum0
Maximum2938
Zeros12930
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:42.392342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q318
95-th percentile73
Maximum2938
Range2938
Interquartile range (IQR)16

Descriptive statistics

Standard deviation43.3866912
Coefficient of variation (CV)2.361848123
Kurtosis459.6808892
Mean18.36980574
Median Absolute Deviation (MAD)6
Skewness14.06863364
Sum1353175
Variance1882.404973
MonotonicityNot monotonic
2024-03-09T21:14:42.662174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12930
17.6%
4 4152
 
5.6%
3 4035
 
5.5%
5 3924
 
5.3%
2 3904
 
5.3%
6 3503
 
4.8%
7 3111
 
4.2%
1 2979
 
4.0%
8 2785
 
3.8%
9 2335
 
3.2%
Other values (440) 30005
40.7%
ValueCountFrequency (%)
0 12930
17.6%
1 2979
 
4.0%
2 3904
 
5.3%
3 4035
 
5.5%
4 4152
 
5.6%
ValueCountFrequency (%)
2938 1
< 0.1%
1328 1
< 0.1%
1257 1
< 0.1%
1190 1
< 0.1%
1171 1
< 0.1%

V404
Real number (ℝ)

SKEWED  ZEROS 

Distinct209
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.276203793
Minimum0
Maximum1482
Zeros26940
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:42.944822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16
Maximum1482
Range1482
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.71856759
Coefficient of variation (CV)3.675822844
Kurtosis3184.40108
Mean4.276203793
Median Absolute Deviation (MAD)1
Skewness42.09392498
Sum314998
Variance247.073367
MonotonicityNot monotonic
2024-03-09T21:14:43.216892image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26940
36.6%
1 12024
16.3%
2 8402
 
11.4%
3 5702
 
7.7%
4 3962
 
5.4%
5 2845
 
3.9%
6 2228
 
3.0%
7 1656
 
2.2%
8 1248
 
1.7%
9 1057
 
1.4%
Other values (199) 7599
 
10.3%
ValueCountFrequency (%)
0 26940
36.6%
1 12024
16.3%
2 8402
 
11.4%
3 5702
 
7.7%
4 3962
 
5.4%
ValueCountFrequency (%)
1482 1
< 0.1%
1328 1
< 0.1%
1314 1
< 0.1%
1251 1
< 0.1%
898 1
< 0.1%

V405
Real number (ℝ)

SKEWED  ZEROS 

Distinct112
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.379186294
Minimum0
Maximum1738
Zeros46531
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:43.505389image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum1738
Range1738
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.8791523
Coefficient of variation (CV)8.613160054
Kurtosis10500.10661
Mean1.379186294
Median Absolute Deviation (MAD)0
Skewness90.89403131
Sum101595
Variance141.1142593
MonotonicityNot monotonic
2024-03-09T21:14:43.773596image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46531
63.2%
1 12333
 
16.7%
2 5710
 
7.8%
3 2829
 
3.8%
4 1648
 
2.2%
5 1050
 
1.4%
6 695
 
0.9%
7 482
 
0.7%
8 380
 
0.5%
9 281
 
0.4%
Other values (102) 1724
 
2.3%
ValueCountFrequency (%)
0 46531
63.2%
1 12333
 
16.7%
2 5710
 
7.8%
3 2829
 
3.8%
4 1648
 
2.2%
ValueCountFrequency (%)
1738 1
< 0.1%
1274 1
< 0.1%
1103 1
< 0.1%
1040 1
< 0.1%
941 1
< 0.1%

V406
Real number (ℝ)

SKEWED  ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5235871469
Minimum0
Maximum1646
Zeros61742
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:44.026529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1646
Range1646
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.776129466
Coefficient of variation (CV)18.67144662
Kurtosis15916.40226
Mean0.5235871469
Median Absolute Deviation (MAD)0
Skewness115.0314585
Sum38569
Variance95.57270733
MonotonicityNot monotonic
2024-03-09T21:14:44.292625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61742
83.8%
1 7129
 
9.7%
2 2004
 
2.7%
3 921
 
1.3%
4 460
 
0.6%
5 351
 
0.5%
6 200
 
0.3%
7 140
 
0.2%
8 128
 
0.2%
10 84
 
0.1%
Other values (67) 504
 
0.7%
ValueCountFrequency (%)
0 61742
83.8%
1 7129
 
9.7%
2 2004
 
2.7%
3 921
 
1.3%
4 460
 
0.6%
ValueCountFrequency (%)
1646 1
< 0.1%
1205 1
< 0.1%
856 1
< 0.1%
782 1
< 0.1%
745 1
< 0.1%

V407
Real number (ℝ)

SKEWED  ZEROS 

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2674748517
Minimum0
Maximum1299
Zeros67926
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:44.564720image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1299
Range1299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.535139319
Coefficient of variation (CV)28.17139358
Kurtosis17392.94716
Mean0.2674748517
Median Absolute Deviation (MAD)0
Skewness122.176477
Sum19703
Variance56.77832455
MonotonicityNot monotonic
2024-03-09T21:14:44.832191image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67926
92.2%
1 3549
 
4.8%
2 926
 
1.3%
3 404
 
0.5%
4 224
 
0.3%
5 173
 
0.2%
6 103
 
0.1%
7 59
 
0.1%
8 54
 
0.1%
10 38
 
0.1%
Other values (55) 207
 
0.3%
ValueCountFrequency (%)
0 67926
92.2%
1 3549
 
4.8%
2 926
 
1.3%
3 404
 
0.5%
4 224
 
0.3%
ValueCountFrequency (%)
1299 1
< 0.1%
923 1
< 0.1%
723 1
< 0.1%
662 1
< 0.1%
548 1
< 0.1%

V408
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1852897656
Minimum0
Maximum1268
Zeros70040
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:45.105875image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1268
Range1268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.145808763
Coefficient of variation (CV)38.56558802
Kurtosis19173.25293
Mean0.1852897656
Median Absolute Deviation (MAD)0
Skewness130.0266935
Sum13649
Variance51.06258288
MonotonicityNot monotonic
2024-03-09T21:14:45.391603image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70040
95.1%
1 2238
 
3.0%
2 604
 
0.8%
3 255
 
0.3%
4 154
 
0.2%
5 109
 
0.1%
6 58
 
0.1%
7 33
 
< 0.1%
8 33
 
< 0.1%
9 17
 
< 0.1%
Other values (48) 122
 
0.2%
ValueCountFrequency (%)
0 70040
95.1%
1 2238
 
3.0%
2 604
 
0.8%
3 255
 
0.3%
4 154
 
0.2%
ValueCountFrequency (%)
1268 1
< 0.1%
863 1
< 0.1%
731 1
< 0.1%
688 1
< 0.1%
426 1
< 0.1%

V409
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.145147496
Minimum0
Maximum1251
Zeros71183
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:45.659640image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1251
Range1251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.917470887
Coefficient of variation (CV)47.65821717
Kurtosis20831.37569
Mean0.145147496
Median Absolute Deviation (MAD)0
Skewness136.262013
Sum10692
Variance47.85140348
MonotonicityNot monotonic
2024-03-09T21:14:45.958790image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71183
96.6%
1 1547
 
2.1%
2 409
 
0.6%
3 186
 
0.3%
4 103
 
0.1%
5 58
 
0.1%
6 32
 
< 0.1%
7 26
 
< 0.1%
8 21
 
< 0.1%
10 10
 
< 0.1%
Other values (42) 88
 
0.1%
ValueCountFrequency (%)
0 71183
96.6%
1 1547
 
2.1%
2 409
 
0.6%
3 186
 
0.3%
4 103
 
0.1%
ValueCountFrequency (%)
1251 1
< 0.1%
907 1
< 0.1%
698 1
< 0.1%
606 1
< 0.1%
358 1
< 0.1%

V410
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1179560974
Minimum0
Maximum1192
Zeros71827
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:46.210881image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1192
Range1192
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.614923769
Coefficient of variation (CV)56.07954075
Kurtosis21147.06527
Mean0.1179560974
Median Absolute Deviation (MAD)0
Skewness138.1945572
Sum8689
Variance43.75721647
MonotonicityNot monotonic
2024-03-09T21:14:46.498300image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 71827
97.5%
1 1166
 
1.6%
2 321
 
0.4%
3 125
 
0.2%
4 62
 
0.1%
5 35
 
< 0.1%
6 21
 
< 0.1%
8 13
 
< 0.1%
7 13
 
< 0.1%
9 11
 
< 0.1%
Other values (39) 69
 
0.1%
ValueCountFrequency (%)
0 71827
97.5%
1 1166
 
1.6%
2 321
 
0.4%
3 125
 
0.2%
4 62
 
0.1%
ValueCountFrequency (%)
1192 1
< 0.1%
887 1
< 0.1%
668 1
< 0.1%
614 1
< 0.1%
248 1
< 0.1%

V411
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1016385431
Minimum0
Maximum1143
Zeros72240
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:46.755710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1143
Range1143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.359873632
Coefficient of variation (CV)62.57344348
Kurtosis20800.48568
Mean0.1016385431
Median Absolute Deviation (MAD)0
Skewness137.167419
Sum7487
Variance40.44799262
MonotonicityNot monotonic
2024-03-09T21:14:47.035609image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 72240
98.1%
1 920
 
1.2%
2 241
 
0.3%
3 88
 
0.1%
4 49
 
0.1%
5 37
 
0.1%
6 9
 
< 0.1%
7 9
 
< 0.1%
8 9
 
< 0.1%
12 8
 
< 0.1%
Other values (36) 53
 
0.1%
ValueCountFrequency (%)
0 72240
98.1%
1 920
 
1.2%
2 241
 
0.3%
3 88
 
0.1%
4 49
 
0.1%
ValueCountFrequency (%)
1143 1
< 0.1%
830 1
< 0.1%
637 1
< 0.1%
629 1
< 0.1%
237 1
< 0.1%

V412
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0990999552
Minimum0
Maximum1090
Zeros72362
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:47.313660image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1090
Range1090
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.387998859
Coefficient of variation (CV)64.4601589
Kurtosis18950.28501
Mean0.0990999552
Median Absolute Deviation (MAD)0
Skewness131.9370182
Sum7300
Variance40.80652942
MonotonicityNot monotonic
2024-03-09T21:14:47.587044image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 72362
98.2%
1 885
 
1.2%
2 179
 
0.2%
3 82
 
0.1%
5 34
 
< 0.1%
4 33
 
< 0.1%
8 13
 
< 0.1%
7 9
 
< 0.1%
12 7
 
< 0.1%
6 7
 
< 0.1%
Other values (36) 52
 
0.1%
ValueCountFrequency (%)
0 72362
98.2%
1 885
 
1.2%
2 179
 
0.2%
3 82
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
1090 1
< 0.1%
835 1
< 0.1%
688 1
< 0.1%
664 1
< 0.1%
293 1
< 0.1%

V413
Real number (ℝ)

SKEWED  ZEROS 

Distinct121
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.336695492
Minimum0
Maximum17298
Zeros69130
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:47.869889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum17298
Range17298
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.8110511
Coefficient of variation (CV)79.15868034
Kurtosis18644.72555
Mean1.336695492
Median Absolute Deviation (MAD)0
Skewness133.1426507
Sum98465
Variance11195.97854
MonotonicityNot monotonic
2024-03-09T21:14:48.137048image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69130
93.8%
1 1986
 
2.7%
2 835
 
1.1%
3 427
 
0.6%
4 244
 
0.3%
5 209
 
0.3%
6 132
 
0.2%
7 81
 
0.1%
8 76
 
0.1%
10 55
 
0.1%
Other values (111) 488
 
0.7%
ValueCountFrequency (%)
0 69130
93.8%
1 1986
 
2.7%
2 835
 
1.1%
3 427
 
0.6%
4 244
 
0.3%
ValueCountFrequency (%)
17298 1
< 0.1%
13690 1
< 0.1%
12769 1
< 0.1%
12014 1
< 0.1%
2926 1
< 0.1%

V414
Real number (ℝ)

SKEWED  ZEROS 

Distinct628
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.62166895
Minimum0
Maximum29723
Zeros9083
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:48.456488image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median13
Q332
95-th percentile117
Maximum29723
Range29723
Interquartile range (IQR)27

Descriptive statistics

Standard deviation193.0450545
Coefficient of variation (CV)5.917693995
Kurtosis13979.81498
Mean32.62166895
Median Absolute Deviation (MAD)10
Skewness107.9110147
Sum2403010
Variance37266.39306
MonotonicityNot monotonic
2024-03-09T21:14:48.746827image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9083
 
12.3%
6 2841
 
3.9%
5 2748
 
3.7%
8 2747
 
3.7%
7 2708
 
3.7%
9 2554
 
3.5%
4 2462
 
3.3%
10 2445
 
3.3%
11 2316
 
3.1%
12 2036
 
2.8%
Other values (618) 41723
56.6%
ValueCountFrequency (%)
0 9083
12.3%
1 1028
 
1.4%
2 1513
 
2.1%
3 1974
 
2.7%
4 2462
 
3.3%
ValueCountFrequency (%)
29723 1
< 0.1%
22989 1
< 0.1%
21181 1
< 0.1%
20342 1
< 0.1%
7526 1
< 0.1%

V415
Real number (ℝ)

SKEWED  ZEROS 

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2668775369
Minimum0
Maximum526
Zeros70109
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:49.028049image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum526
Range526
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.50606109
Coefficient of variation (CV)16.88437754
Kurtosis7845.291249
Mean0.2668775369
Median Absolute Deviation (MAD)0
Skewness78.57367689
Sum19659
Variance20.30458655
MonotonicityNot monotonic
2024-03-09T21:14:49.311973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70109
95.2%
1 1545
 
2.1%
2 623
 
0.8%
3 356
 
0.5%
4 213
 
0.3%
5 141
 
0.2%
6 96
 
0.1%
7 61
 
0.1%
8 56
 
0.1%
10 50
 
0.1%
Other values (65) 413
 
0.6%
ValueCountFrequency (%)
0 70109
95.2%
1 1545
 
2.1%
2 623
 
0.8%
3 356
 
0.5%
4 213
 
0.3%
ValueCountFrequency (%)
526 1
< 0.1%
472 1
< 0.1%
451 1
< 0.1%
445 1
< 0.1%
408 1
< 0.1%

V416
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7332174905
Minimum0
Maximum833
Zeros67308
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:49.585219image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum833
Range833
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.577822525
Coefficient of variation (CV)11.69887876
Kurtosis3876.04717
Mean0.7332174905
Median Absolute Deviation (MAD)0
Skewness50.54880754
Sum54011
Variance73.57903926
MonotonicityNot monotonic
2024-03-09T21:14:50.631371image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67308
91.4%
1 2130
 
2.9%
2 1046
 
1.4%
3 632
 
0.9%
4 410
 
0.6%
5 323
 
0.4%
6 248
 
0.3%
7 200
 
0.3%
8 157
 
0.2%
9 130
 
0.2%
Other values (135) 1079
 
1.5%
ValueCountFrequency (%)
0 67308
91.4%
1 2130
 
2.9%
2 1046
 
1.4%
3 632
 
0.9%
4 410
 
0.6%
ValueCountFrequency (%)
833 1
< 0.1%
790 1
< 0.1%
758 1
< 0.1%
582 1
< 0.1%
573 1
< 0.1%

V417
Real number (ℝ)

SKEWED  ZEROS 

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4008661065
Minimum0
Maximum912
Zeros69530
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:50.880039image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum912
Range912
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.538367527
Coefficient of variation (CV)21.29979908
Kurtosis7537.382036
Mean0.4008661065
Median Absolute Deviation (MAD)0
Skewness80.48964739
Sum29529
Variance72.90372003
MonotonicityNot monotonic
2024-03-09T21:14:51.155766image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69530
94.4%
1 1653
 
2.2%
2 722
 
1.0%
3 354
 
0.5%
4 259
 
0.4%
5 178
 
0.2%
6 154
 
0.2%
7 89
 
0.1%
8 75
 
0.1%
9 68
 
0.1%
Other values (83) 581
 
0.8%
ValueCountFrequency (%)
0 69530
94.4%
1 1653
 
2.2%
2 722
 
1.0%
3 354
 
0.5%
4 259
 
0.4%
ValueCountFrequency (%)
912 1
< 0.1%
897 1
< 0.1%
873 1
< 0.1%
842 1
< 0.1%
643 1
< 0.1%

V418
Real number (ℝ)

SKEWED  ZEROS 

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2184000109
Minimum0
Maximum873
Zeros71339
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:51.433257image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum873
Range873
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.559040941
Coefficient of variation (CV)34.6109916
Kurtosis8322.183924
Mean0.2184000109
Median Absolute Deviation (MAD)0
Skewness86.08438813
Sum16088
Variance57.13909995
MonotonicityNot monotonic
2024-03-09T21:14:51.690409image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71339
96.8%
1 1002
 
1.4%
2 426
 
0.6%
3 213
 
0.3%
4 149
 
0.2%
5 103
 
0.1%
6 72
 
0.1%
7 50
 
0.1%
8 50
 
0.1%
9 44
 
0.1%
Other values (56) 215
 
0.3%
ValueCountFrequency (%)
0 71339
96.8%
1 1002
 
1.4%
2 426
 
0.6%
3 213
 
0.3%
4 149
 
0.2%
ValueCountFrequency (%)
873 1
< 0.1%
852 1
< 0.1%
795 1
< 0.1%
658 1
< 0.1%
560 1
< 0.1%

V419
Real number (ℝ)

SKEWED  ZEROS 

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1293458045
Minimum0
Maximum678
Zeros72242
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:51.942350image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum678
Range678
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.071425116
Coefficient of variation (CV)46.9394824
Kurtosis8633.451782
Mean0.1293458045
Median Absolute Deviation (MAD)0
Skewness90.26105578
Sum9528
Variance36.86220294
MonotonicityNot monotonic
2024-03-09T21:14:52.210459image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 72242
98.1%
1 719
 
1.0%
2 264
 
0.4%
3 123
 
0.2%
4 75
 
0.1%
5 55
 
0.1%
6 35
 
< 0.1%
7 29
 
< 0.1%
10 16
 
< 0.1%
8 14
 
< 0.1%
Other values (38) 91
 
0.1%
ValueCountFrequency (%)
0 72242
98.1%
1 719
 
1.0%
2 264
 
0.4%
3 123
 
0.2%
4 75
 
0.1%
ValueCountFrequency (%)
678 1
< 0.1%
662 1
< 0.1%
637 1
< 0.1%
512 1
< 0.1%
499 1
< 0.1%

V420
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0960726552
Minimum0
Maximum679
Zeros72821
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:52.472082image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum679
Range679
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.903800927
Coefficient of variation (CV)61.45141835
Kurtosis9298.358824
Mean0.0960726552
Median Absolute Deviation (MAD)0
Skewness94.20810294
Sum7077
Variance34.85486538
MonotonicityNot monotonic
2024-03-09T21:14:52.736778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 72821
98.9%
1 468
 
0.6%
2 167
 
0.2%
3 56
 
0.1%
4 41
 
0.1%
5 21
 
< 0.1%
6 18
 
< 0.1%
7 10
 
< 0.1%
9 8
 
< 0.1%
10 6
 
< 0.1%
Other values (28) 47
 
0.1%
ValueCountFrequency (%)
0 72821
98.9%
1 468
 
0.6%
2 167
 
0.2%
3 56
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
679 1
< 0.1%
623 1
< 0.1%
609 1
< 0.1%
587 1
< 0.1%
570 1
< 0.1%

V421
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07792243053
Minimum0
Maximum639
Zeros73089
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:52.970939image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum639
Range639
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.460072907
Coefficient of variation (CV)70.07061856
Kurtosis10414.16541
Mean0.07792243053
Median Absolute Deviation (MAD)0
Skewness99.76986581
Sum5740
Variance29.81239615
MonotonicityNot monotonic
2024-03-09T21:14:53.225091image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 73089
99.2%
1 333
 
0.5%
2 107
 
0.1%
3 37
 
0.1%
4 15
 
< 0.1%
5 14
 
< 0.1%
8 11
 
< 0.1%
6 11
 
< 0.1%
9 8
 
< 0.1%
7 6
 
< 0.1%
Other values (24) 32
 
< 0.1%
ValueCountFrequency (%)
0 73089
99.2%
1 333
 
0.5%
2 107
 
0.1%
3 37
 
0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
639 1
< 0.1%
637 1
< 0.1%
607 1
< 0.1%
533 1
< 0.1%
487 1
< 0.1%

V422
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06911203725
Minimum0
Maximum695
Zeros73251
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:53.465997image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum695
Range695
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.30433416
Coefficient of variation (CV)76.74978732
Kurtosis11472.22099
Mean0.06911203725
Median Absolute Deviation (MAD)0
Skewness104.2110309
Sum5091
Variance28.13596088
MonotonicityNot monotonic
2024-03-09T21:14:53.686999image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 73251
99.4%
1 225
 
0.3%
2 75
 
0.1%
3 34
 
< 0.1%
4 18
 
< 0.1%
5 18
 
< 0.1%
6 11
 
< 0.1%
10 4
 
< 0.1%
8 4
 
< 0.1%
11 3
 
< 0.1%
Other values (17) 20
 
< 0.1%
ValueCountFrequency (%)
0 73251
99.4%
1 225
 
0.3%
2 75
 
0.1%
3 34
 
< 0.1%
4 18
 
< 0.1%
ValueCountFrequency (%)
695 1
< 0.1%
657 1
< 0.1%
534 1
< 0.1%
502 1
< 0.1%
466 1
< 0.1%

V423
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06482223097
Minimum0
Maximum645
Zeros73354
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:53.922789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum645
Range645
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.269168033
Coefficient of variation (CV)81.28643452
Kurtosis11214.46276
Mean0.06482223097
Median Absolute Deviation (MAD)0
Skewness103.9997201
Sum4775
Variance27.76413176
MonotonicityNot monotonic
2024-03-09T21:14:54.158839image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 73354
99.6%
1 186
 
0.3%
2 37
 
0.1%
3 23
 
< 0.1%
4 21
 
< 0.1%
6 6
 
< 0.1%
5 6
 
< 0.1%
9 3
 
< 0.1%
7 3
 
< 0.1%
18 2
 
< 0.1%
Other values (19) 22
 
< 0.1%
ValueCountFrequency (%)
0 73354
99.6%
1 186
 
0.3%
2 37
 
0.1%
3 23
 
< 0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
645 1
< 0.1%
631 1
< 0.1%
552 1
< 0.1%
540 1
< 0.1%
502 1
< 0.1%

V424
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05948712379
Minimum0
Maximum658
Zeros73391
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:54.382357image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum658
Range658
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.008457628
Coefficient of variation (CV)84.19397861
Kurtosis11701.33198
Mean0.05948712379
Median Absolute Deviation (MAD)0
Skewness105.9822426
Sum4382
Variance25.08464782
MonotonicityNot monotonic
2024-03-09T21:14:54.604766image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 73391
99.6%
1 162
 
0.2%
2 43
 
0.1%
3 17
 
< 0.1%
5 13
 
< 0.1%
6 7
 
< 0.1%
4 6
 
< 0.1%
9 3
 
< 0.1%
7 2
 
< 0.1%
17 2
 
< 0.1%
Other values (16) 17
 
< 0.1%
ValueCountFrequency (%)
0 73391
99.6%
1 162
 
0.2%
2 43
 
0.1%
3 17
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
658 1
< 0.1%
584 1
< 0.1%
545 1
< 0.1%
484 1
< 0.1%
465 1
< 0.1%

V425
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7662870098
Minimum0
Maximum12667
Zeros73033
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:54.872647image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12667
Range12667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation75.0995806
Coefficient of variation (CV)98.00450699
Kurtosis17278.04852
Mean0.7662870098
Median Absolute Deviation (MAD)0
Skewness125.4693567
Sum56447
Variance5639.947007
MonotonicityNot monotonic
2024-03-09T21:14:55.143286image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73033
99.1%
1 252
 
0.3%
2 125
 
0.2%
3 54
 
0.1%
4 28
 
< 0.1%
5 27
 
< 0.1%
8 14
 
< 0.1%
7 14
 
< 0.1%
10 13
 
< 0.1%
6 13
 
< 0.1%
Other values (50) 90
 
0.1%
ValueCountFrequency (%)
0 73033
99.1%
1 252
 
0.3%
2 125
 
0.2%
3 54
 
0.1%
4 28
 
< 0.1%
ValueCountFrequency (%)
12667 1
< 0.1%
9284 1
< 0.1%
7310 1
< 0.1%
7263 1
< 0.1%
6169 1
< 0.1%

V426
Real number (ℝ)

SKEWED  ZEROS 

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.882410437
Minimum0
Maximum19420
Zeros65364
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:55.405514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum19420
Range19420
Interquartile range (IQR)0

Descriptive statistics

Standard deviation127.8119757
Coefficient of variation (CV)44.34204584
Kurtosis12969.45837
Mean2.882410437
Median Absolute Deviation (MAD)0
Skewness108.2259336
Sum212327
Variance16335.90114
MonotonicityNot monotonic
2024-03-09T21:14:55.700290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65364
88.7%
1 2266
 
3.1%
2 1145
 
1.6%
3 689
 
0.9%
4 504
 
0.7%
5 361
 
0.5%
6 327
 
0.4%
7 271
 
0.4%
8 204
 
0.3%
10 200
 
0.3%
Other values (225) 2332
 
3.2%
ValueCountFrequency (%)
0 65364
88.7%
1 2266
 
3.1%
2 1145
 
1.6%
3 689
 
0.9%
4 504
 
0.7%
ValueCountFrequency (%)
19420 1
< 0.1%
14380 1
< 0.1%
13009 1
< 0.1%
11672 1
< 0.1%
10342 1
< 0.1%

V427
Real number (ℝ)

ZEROS 

Distinct261
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.861735199
Minimum0
Maximum579
Zeros28101
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:55.983311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile31
Maximum579
Range579
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.02483767
Coefficient of variation (CV)2.626862907
Kurtosis193.7425599
Mean6.861735199
Median Absolute Deviation (MAD)2
Skewness10.59856171
Sum505456
Variance324.8947731
MonotonicityNot monotonic
2024-03-09T21:14:56.234330image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28101
38.1%
1 7116
 
9.7%
2 6207
 
8.4%
3 5029
 
6.8%
4 3995
 
5.4%
5 3019
 
4.1%
6 2339
 
3.2%
7 1835
 
2.5%
8 1597
 
2.2%
9 1265
 
1.7%
Other values (251) 13160
17.9%
ValueCountFrequency (%)
0 28101
38.1%
1 7116
 
9.7%
2 6207
 
8.4%
3 5029
 
6.8%
4 3995
 
5.4%
ValueCountFrequency (%)
579 1
< 0.1%
520 1
< 0.1%
518 1
< 0.1%
496 1
< 0.1%
466 1
< 0.1%

V428
Real number (ℝ)

ZEROS 

Distinct502
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.77758169
Minimum0
Maximum2738
Zeros12904
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:56.492047image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q319
95-th percentile87
Maximum2738
Range2738
Interquartile range (IQR)17

Descriptive statistics

Standard deviation49.36635582
Coefficient of variation (CV)2.375943291
Kurtosis288.3946765
Mean20.77758169
Median Absolute Deviation (MAD)6
Skewness11.7257068
Sum1530539
Variance2437.037087
MonotonicityNot monotonic
2024-03-09T21:14:56.745915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12904
17.5%
4 3977
 
5.4%
3 3886
 
5.3%
5 3796
 
5.2%
2 3628
 
4.9%
6 3420
 
4.6%
7 3070
 
4.2%
1 2825
 
3.8%
8 2711
 
3.7%
9 2478
 
3.4%
Other values (492) 30968
42.0%
ValueCountFrequency (%)
0 12904
17.5%
1 2825
 
3.8%
2 3628
 
4.9%
3 3886
 
5.3%
4 3977
 
5.4%
ValueCountFrequency (%)
2738 1
< 0.1%
1453 1
< 0.1%
1411 1
< 0.1%
1247 1
< 0.1%
1244 1
< 0.1%

V429
Real number (ℝ)

SKEWED  ZEROS 

Distinct208
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.634633398
Minimum0
Maximum2013
Zeros30712
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:57.010278image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum2013
Range2013
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.28296593
Coefficient of variation (CV)4.75507817
Kurtosis6084.242936
Mean3.634633398
Median Absolute Deviation (MAD)1
Skewness62.24927511
Sum267738
Variance298.7009112
MonotonicityNot monotonic
2024-03-09T21:14:57.305603image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30712
41.7%
1 12939
17.6%
2 8260
 
11.2%
3 5204
 
7.1%
4 3270
 
4.4%
5 2430
 
3.3%
6 1762
 
2.4%
7 1296
 
1.8%
8 1047
 
1.4%
9 813
 
1.1%
Other values (198) 5930
 
8.1%
ValueCountFrequency (%)
0 30712
41.7%
1 12939
17.6%
2 8260
 
11.2%
3 5204
 
7.1%
4 3270
 
4.4%
ValueCountFrequency (%)
2013 1
< 0.1%
1787 1
< 0.1%
1615 1
< 0.1%
1576 1
< 0.1%
809 1
< 0.1%

V430
Real number (ℝ)

SKEWED  ZEROS 

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.063939834
Minimum0
Maximum2325
Zeros50937
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:57.588580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum2325
Range2325
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.16335961
Coefficient of variation (CV)13.31218097
Kurtosis15760.72505
Mean1.063939834
Median Absolute Deviation (MAD)0
Skewness116.1352958
Sum78373
Variance200.6007554
MonotonicityNot monotonic
2024-03-09T21:14:57.856212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50937
69.1%
1 11751
 
16.0%
2 4484
 
6.1%
3 2148
 
2.9%
4 1149
 
1.6%
5 754
 
1.0%
6 480
 
0.7%
7 316
 
0.4%
8 256
 
0.3%
9 195
 
0.3%
Other values (87) 1193
 
1.6%
ValueCountFrequency (%)
0 50937
69.1%
1 11751
 
16.0%
2 4484
 
6.1%
3 2148
 
2.9%
4 1149
 
1.6%
ValueCountFrequency (%)
2325 1
< 0.1%
1679 1
< 0.1%
1521 1
< 0.1%
1401 1
< 0.1%
774 1
< 0.1%

V431
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4536605894
Minimum0
Maximum2282
Zeros63746
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:58.107028image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2282
Range2282
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.78284065
Coefficient of variation (CV)28.17710188
Kurtosis20092.50327
Mean0.4536605894
Median Absolute Deviation (MAD)0
Skewness133.2218272
Sum33418
Variance163.401015
MonotonicityNot monotonic
2024-03-09T21:14:58.378258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63746
86.5%
1 6125
 
8.3%
2 1704
 
2.3%
3 682
 
0.9%
4 362
 
0.5%
5 246
 
0.3%
6 166
 
0.2%
7 111
 
0.2%
10 70
 
0.1%
8 66
 
0.1%
Other values (66) 385
 
0.5%
ValueCountFrequency (%)
0 63746
86.5%
1 6125
 
8.3%
2 1704
 
2.3%
3 682
 
0.9%
4 362
 
0.5%
ValueCountFrequency (%)
2282 1
< 0.1%
1679 1
< 0.1%
1246 1
< 0.1%
1179 1
< 0.1%
595 1
< 0.1%

V432
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.280887284
Minimum0
Maximum2173
Zeros68345
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:58.632550image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2173
Range2173
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.97814
Coefficient of variation (CV)42.64393826
Kurtosis21076.10379
Mean0.280887284
Median Absolute Deviation (MAD)0
Skewness138.2120922
Sum20691
Variance143.4758378
MonotonicityNot monotonic
2024-03-09T21:14:58.899957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68345
92.8%
1 3426
 
4.7%
2 808
 
1.1%
3 348
 
0.5%
4 212
 
0.3%
5 129
 
0.2%
6 94
 
0.1%
7 44
 
0.1%
8 44
 
0.1%
9 30
 
< 0.1%
Other values (57) 183
 
0.2%
ValueCountFrequency (%)
0 68345
92.8%
1 3426
 
4.7%
2 808
 
1.1%
3 348
 
0.5%
4 212
 
0.3%
ValueCountFrequency (%)
2173 1
< 0.1%
1472 1
< 0.1%
1303 1
< 0.1%
1199 1
< 0.1%
429 1
< 0.1%

V433
Real number (ℝ)

SKEWED  ZEROS 

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2217802696
Minimum0
Maximum2337
Zeros70046
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:59.155621image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2337
Range2337
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.24065753
Coefficient of variation (CV)55.19272546
Kurtosis23911.53446
Mean0.2217802696
Median Absolute Deviation (MAD)0
Skewness147.3044385
Sum16337
Variance149.8336968
MonotonicityNot monotonic
2024-03-09T21:14:59.422366image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70046
95.1%
1 2255
 
3.1%
2 589
 
0.8%
3 272
 
0.4%
4 127
 
0.2%
5 102
 
0.1%
6 63
 
0.1%
7 35
 
< 0.1%
8 32
 
< 0.1%
10 22
 
< 0.1%
Other values (49) 120
 
0.2%
ValueCountFrequency (%)
0 70046
95.1%
1 2255
 
3.1%
2 589
 
0.8%
3 272
 
0.4%
4 127
 
0.2%
ValueCountFrequency (%)
2337 1
< 0.1%
1516 1
< 0.1%
1300 1
< 0.1%
1122 1
< 0.1%
291 1
< 0.1%

V434
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1971681848
Minimum0
Maximum2464
Zeros70955
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:59.679984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2464
Range2464
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.87157739
Coefficient of variation (CV)65.28222287
Kurtosis24376.92945
Mean0.1971681848
Median Absolute Deviation (MAD)0
Skewness149.0559768
Sum14524
Variance165.6775044
MonotonicityNot monotonic
2024-03-09T21:14:59.953902image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70955
96.3%
1 1744
 
2.4%
2 435
 
0.6%
3 196
 
0.3%
4 102
 
0.1%
5 46
 
0.1%
6 32
 
< 0.1%
7 21
 
< 0.1%
8 18
 
< 0.1%
12 14
 
< 0.1%
Other values (50) 100
 
0.1%
ValueCountFrequency (%)
0 70955
96.3%
1 1744
 
2.4%
2 435
 
0.6%
3 196
 
0.3%
4 102
 
0.1%
ValueCountFrequency (%)
2464 1
< 0.1%
1669 1
< 0.1%
1298 1
< 0.1%
1165 1
< 0.1%
273 1
< 0.1%

V435
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1765200983
Minimum0
Maximum2249
Zeros71431
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:00.278500image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2249
Range2249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.77699408
Coefficient of variation (CV)72.38265897
Kurtosis21763.07476
Mean0.1765200983
Median Absolute Deviation (MAD)0
Skewness143.0480486
Sum13003
Variance163.2515776
MonotonicityNot monotonic
2024-03-09T21:15:00.648542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 71431
97.0%
1 1465
 
2.0%
2 364
 
0.5%
3 150
 
0.2%
4 63
 
0.1%
5 45
 
0.1%
6 28
 
< 0.1%
8 18
 
< 0.1%
7 16
 
< 0.1%
9 12
 
< 0.1%
Other values (39) 71
 
0.1%
ValueCountFrequency (%)
0 71431
97.0%
1 1465
 
2.0%
2 364
 
0.5%
3 150
 
0.2%
4 63
 
0.1%
ValueCountFrequency (%)
2249 1
< 0.1%
1845 1
< 0.1%
1344 1
< 0.1%
1232 1
< 0.1%
215 1
< 0.1%

V436
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1639086108
Minimum0
Maximum2322
Zeros71801
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:01.013885image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2322
Range2322
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.73165617
Coefficient of variation (CV)77.6753345
Kurtosis22826.42915
Mean0.1639086108
Median Absolute Deviation (MAD)0
Skewness145.8875157
Sum12074
Variance162.0950689
MonotonicityNot monotonic
2024-03-09T21:15:02.147651image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71801
97.5%
1 1228
 
1.7%
2 300
 
0.4%
3 125
 
0.2%
4 53
 
0.1%
5 35
 
< 0.1%
6 24
 
< 0.1%
8 13
 
< 0.1%
7 12
 
< 0.1%
10 7
 
< 0.1%
Other values (43) 65
 
0.1%
ValueCountFrequency (%)
0 71801
97.5%
1 1228
 
1.7%
2 300
 
0.4%
3 125
 
0.2%
4 53
 
0.1%
ValueCountFrequency (%)
2322 1
< 0.1%
1783 1
< 0.1%
1327 1
< 0.1%
1176 1
< 0.1%
230 1
< 0.1%

V437
Real number (ℝ)

SKEWED  ZEROS 

Distinct47
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1621302418
Minimum0
Maximum2163
Zeros71902
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:02.488914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2163
Range2163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.60226107
Coefficient of variation (CV)77.72924367
Kurtosis20930.98151
Mean0.1621302418
Median Absolute Deviation (MAD)0
Skewness140.8101398
Sum11943
Variance158.816984
MonotonicityNot monotonic
2024-03-09T21:15:02.831215image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 71902
97.6%
1 1149
 
1.6%
2 299
 
0.4%
3 103
 
0.1%
5 41
 
0.1%
4 41
 
0.1%
6 20
 
< 0.1%
7 19
 
< 0.1%
8 12
 
< 0.1%
10 10
 
< 0.1%
Other values (37) 67
 
0.1%
ValueCountFrequency (%)
0 71902
97.6%
1 1149
 
1.6%
2 299
 
0.4%
3 103
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
2163 1
< 0.1%
1814 1
< 0.1%
1390 1
< 0.1%
1251 1
< 0.1%
214 1
< 0.1%

V438
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.235966496
Minimum0
Maximum35434
Zeros67670
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:03.163957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35434
Range35434
Interquartile range (IQR)0

Descriptive statistics

Standard deviation201.9861338
Coefficient of variation (CV)90.33504487
Kurtosis21570.54128
Mean2.235966496
Median Absolute Deviation (MAD)0
Skewness142.8506886
Sum164708
Variance40798.39823
MonotonicityNot monotonic
2024-03-09T21:15:03.488837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67670
91.9%
1 2348
 
3.2%
2 1016
 
1.4%
3 583
 
0.8%
4 391
 
0.5%
5 302
 
0.4%
6 211
 
0.3%
7 159
 
0.2%
8 125
 
0.2%
10 101
 
0.1%
Other values (116) 757
 
1.0%
ValueCountFrequency (%)
0 67670
91.9%
1 2348
 
3.2%
2 1016
 
1.4%
3 583
 
0.8%
4 391
 
0.5%
ValueCountFrequency (%)
35434 1
< 0.1%
28734 1
< 0.1%
21847 1
< 0.1%
19983 1
< 0.1%
3661 1
< 0.1%

V439
Real number (ℝ)

SKEWED  ZEROS 

Distinct674
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.2299119
Minimum0
Maximum56234
Zeros9219
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:03.753826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median13
Q333
95-th percentile133
Maximum56234
Range56234
Interquartile range (IQR)28

Descriptive statistics

Standard deviation330.1803498
Coefficient of variation (CV)9.113473715
Kurtosis18991.02627
Mean36.2299119
Median Absolute Deviation (MAD)10
Skewness130.7004708
Sum2668804
Variance109019.0634
MonotonicityNot monotonic
2024-03-09T21:15:04.003932image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9219
 
12.5%
7 2801
 
3.8%
8 2783
 
3.8%
6 2672
 
3.6%
5 2590
 
3.5%
9 2565
 
3.5%
10 2441
 
3.3%
4 2335
 
3.2%
11 2259
 
3.1%
12 2108
 
2.9%
Other values (664) 41890
56.9%
ValueCountFrequency (%)
0 9219
12.5%
1 921
 
1.3%
2 1424
 
1.9%
3 1930
 
2.6%
4 2335
 
3.2%
ValueCountFrequency (%)
56234 1
< 0.1%
44451 1
< 0.1%
35490 1
< 0.1%
32973 1
< 0.1%
7057 1
< 0.1%

V440
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2568046373
Minimum0
Maximum729
Zeros70716
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:04.239741image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum729
Range729
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.46563733
Coefficient of variation (CV)21.28325013
Kurtosis10261.68794
Mean0.2568046373
Median Absolute Deviation (MAD)0
Skewness91.7921509
Sum18917
Variance29.87319142
MonotonicityNot monotonic
2024-03-09T21:15:04.522291image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70716
96.0%
1 1288
 
1.7%
2 506
 
0.7%
3 248
 
0.3%
4 165
 
0.2%
5 112
 
0.2%
6 89
 
0.1%
8 58
 
0.1%
7 57
 
0.1%
10 41
 
0.1%
Other values (70) 383
 
0.5%
ValueCountFrequency (%)
0 70716
96.0%
1 1288
 
1.7%
2 506
 
0.7%
3 248
 
0.3%
4 165
 
0.2%
ValueCountFrequency (%)
729 1
< 0.1%
622 1
< 0.1%
600 1
< 0.1%
521 1
< 0.1%
428 1
< 0.1%

V441
Real number (ℝ)

SKEWED  ZEROS 

Distinct147
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6364524931
Minimum0
Maximum859
Zeros68674
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:04.796392image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum859
Range859
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.307992852
Coefficient of variation (CV)14.62480382
Kurtosis4778.914982
Mean0.6364524931
Median Absolute Deviation (MAD)0
Skewness59.02368638
Sum46883
Variance86.63873093
MonotonicityNot monotonic
2024-03-09T21:15:05.047777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68674
93.2%
1 1716
 
2.3%
2 790
 
1.1%
3 493
 
0.7%
4 337
 
0.5%
5 250
 
0.3%
6 183
 
0.2%
7 130
 
0.2%
8 120
 
0.2%
10 100
 
0.1%
Other values (137) 870
 
1.2%
ValueCountFrequency (%)
0 68674
93.2%
1 1716
 
2.3%
2 790
 
1.1%
3 493
 
0.7%
4 337
 
0.5%
ValueCountFrequency (%)
859 1
< 0.1%
851 1
< 0.1%
843 1
< 0.1%
836 1
< 0.1%
737 1
< 0.1%

V442
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3205408414
Minimum0
Maximum1026
Zeros70422
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:05.322491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1026
Range1026
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.791594674
Coefficient of variation (CV)27.42737754
Kurtosis8041.472884
Mean0.3205408414
Median Absolute Deviation (MAD)0
Skewness85.04107654
Sum23612
Variance77.29213692
MonotonicityNot monotonic
2024-03-09T21:15:05.606519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70422
95.6%
1 1334
 
1.8%
2 533
 
0.7%
3 294
 
0.4%
4 192
 
0.3%
5 154
 
0.2%
6 107
 
0.1%
7 70
 
0.1%
8 63
 
0.1%
10 51
 
0.1%
Other values (70) 443
 
0.6%
ValueCountFrequency (%)
0 70422
95.6%
1 1334
 
1.8%
2 533
 
0.7%
3 294
 
0.4%
4 192
 
0.3%
ValueCountFrequency (%)
1026 1
< 0.1%
917 1
< 0.1%
780 1
< 0.1%
773 1
< 0.1%
765 1
< 0.1%

V443
Real number (ℝ)

SKEWED  ZEROS 

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1831991638
Minimum0
Maximum1053
Zeros71784
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:05.889940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1053
Range1053
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.128756634
Coefficient of variation (CV)44.37114486
Kurtosis9295.82805
Mean0.1831991638
Median Absolute Deviation (MAD)0
Skewness92.44494739
Sum13495
Variance66.07668441
MonotonicityNot monotonic
2024-03-09T21:15:06.173206image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71784
97.4%
1 865
 
1.2%
2 343
 
0.5%
3 197
 
0.3%
4 111
 
0.2%
5 88
 
0.1%
6 55
 
0.1%
7 42
 
0.1%
8 27
 
< 0.1%
10 25
 
< 0.1%
Other values (46) 126
 
0.2%
ValueCountFrequency (%)
0 71784
97.4%
1 865
 
1.2%
2 343
 
0.5%
3 197
 
0.3%
4 111
 
0.2%
ValueCountFrequency (%)
1053 1
< 0.1%
823 1
< 0.1%
775 1
< 0.1%
759 1
< 0.1%
673 1
< 0.1%

V444
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.131259927
Minimum0
Maximum1016
Zeros72553
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:06.438807image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1016
Range1016
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.648879674
Coefficient of variation (CV)58.27277106
Kurtosis10791.42191
Mean0.131259927
Median Absolute Deviation (MAD)0
Skewness99.96002904
Sum9669
Variance58.50536026
MonotonicityNot monotonic
2024-03-09T21:15:06.712310image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 72553
98.5%
1 573
 
0.8%
2 193
 
0.3%
3 101
 
0.1%
4 56
 
0.1%
5 39
 
0.1%
6 31
 
< 0.1%
10 15
 
< 0.1%
8 14
 
< 0.1%
9 11
 
< 0.1%
Other values (36) 77
 
0.1%
ValueCountFrequency (%)
0 72553
98.5%
1 573
 
0.8%
2 193
 
0.3%
3 101
 
0.1%
4 56
 
0.1%
ValueCountFrequency (%)
1016 1
< 0.1%
881 1
< 0.1%
847 1
< 0.1%
642 1
< 0.1%
585 1
< 0.1%

V445
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1063220341
Minimum0
Maximum1009
Zeros72976
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:06.967690image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1009
Range1009
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.647799998
Coefficient of variation (CV)71.93052748
Kurtosis11270.58477
Mean0.1063220341
Median Absolute Deviation (MAD)0
Skewness102.7758897
Sum7832
Variance58.4888448
MonotonicityNot monotonic
2024-03-09T21:15:07.222356image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 72976
99.1%
1 390
 
0.5%
2 120
 
0.2%
3 50
 
0.1%
4 29
 
< 0.1%
5 23
 
< 0.1%
6 13
 
< 0.1%
8 13
 
< 0.1%
10 7
 
< 0.1%
11 6
 
< 0.1%
Other values (26) 36
 
< 0.1%
ValueCountFrequency (%)
0 72976
99.1%
1 390
 
0.5%
2 120
 
0.2%
3 50
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
1009 1
< 0.1%
924 1
< 0.1%
823 1
< 0.1%
697 1
< 0.1%
611 1
< 0.1%

V446
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09703650408
Minimum0
Maximum1023
Zeros73155
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:07.468729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1023
Range1023
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.615026521
Coefficient of variation (CV)78.47589516
Kurtosis12457.88573
Mean0.09703650408
Median Absolute Deviation (MAD)0
Skewness108.001998
Sum7148
Variance57.98862891
MonotonicityNot monotonic
2024-03-09T21:15:07.710187image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 73155
99.3%
1 279
 
0.4%
2 94
 
0.1%
3 34
 
< 0.1%
4 22
 
< 0.1%
5 17
 
< 0.1%
6 13
 
< 0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
9 4
 
< 0.1%
Other values (24) 28
 
< 0.1%
ValueCountFrequency (%)
0 73155
99.3%
1 279
 
0.4%
2 94
 
0.1%
3 34
 
< 0.1%
4 22
 
< 0.1%
ValueCountFrequency (%)
1023 1
< 0.1%
992 1
< 0.1%
851 1
< 0.1%
638 1
< 0.1%
612 1
< 0.1%

V447
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09305893054
Minimum0
Maximum1067
Zeros73289
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:07.962167image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1067
Range1067
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.797158196
Coefficient of variation (CV)83.7873179
Kurtosis13281.871
Mean0.09305893054
Median Absolute Deviation (MAD)0
Skewness111.2825421
Sum6855
Variance60.79567594
MonotonicityNot monotonic
2024-03-09T21:15:08.198367image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 73289
99.5%
1 209
 
0.3%
2 54
 
0.1%
3 33
 
< 0.1%
4 20
 
< 0.1%
5 17
 
< 0.1%
6 7
 
< 0.1%
11 4
 
< 0.1%
7 3
 
< 0.1%
10 3
 
< 0.1%
Other values (21) 24
 
< 0.1%
ValueCountFrequency (%)
0 73289
99.5%
1 209
 
0.3%
2 54
 
0.1%
3 33
 
< 0.1%
4 20
 
< 0.1%
ValueCountFrequency (%)
1067 1
< 0.1%
1051 1
< 0.1%
887 1
< 0.1%
681 1
< 0.1%
589 1
< 0.1%

V448
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08939358973
Minimum0
Maximum1170
Zeros73358
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:08.422544image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1170
Range1170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.886114064
Coefficient of variation (CV)88.21789222
Kurtosis14065.01878
Mean0.08939358973
Median Absolute Deviation (MAD)0
Skewness114.4217867
Sum6585
Variance62.19079503
MonotonicityNot monotonic
2024-03-09T21:15:08.658470image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 73358
99.6%
1 182
 
0.2%
2 43
 
0.1%
3 16
 
< 0.1%
5 15
 
< 0.1%
4 11
 
< 0.1%
8 6
 
< 0.1%
6 5
 
< 0.1%
17 2
 
< 0.1%
9 2
 
< 0.1%
Other values (21) 23
 
< 0.1%
ValueCountFrequency (%)
0 73358
99.6%
1 182
 
0.2%
2 43
 
0.1%
3 16
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
1170 1
< 0.1%
995 1
< 0.1%
900 1
< 0.1%
664 1
< 0.1%
662 1
< 0.1%

V449
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09087330139
Minimum0
Maximum1265
Zeros73413
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:08.910117image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1265
Range1265
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.240091175
Coefficient of variation (CV)90.67670096
Kurtosis14725.84673
Mean0.09087330139
Median Absolute Deviation (MAD)0
Skewness116.8574626
Sum6694
Variance67.89910258
MonotonicityNot monotonic
2024-03-09T21:15:09.161639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 73413
99.7%
1 124
 
0.2%
2 49
 
0.1%
3 17
 
< 0.1%
6 10
 
< 0.1%
5 10
 
< 0.1%
4 8
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
14 2
 
< 0.1%
Other values (22) 23
 
< 0.1%
ValueCountFrequency (%)
0 73413
99.7%
1 124
 
0.2%
2 49
 
0.1%
3 17
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
1265 1
< 0.1%
996 1
< 0.1%
968 1
< 0.1%
705 1
< 0.1%
702 1
< 0.1%

V450
Real number (ℝ)

SKEWED  ZEROS 

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.128965695
Minimum0
Maximum17939
Zeros72966
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:09.422355image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17939
Range17939
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.9342667
Coefficient of variation (CV)96.49032491
Kurtosis17315.2216
Mean1.128965695
Median Absolute Deviation (MAD)0
Skewness126.2006933
Sum83163
Variance11866.67447
MonotonicityNot monotonic
2024-03-09T21:15:09.689918image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72966
99.1%
1 271
 
0.4%
2 115
 
0.2%
3 58
 
0.1%
4 35
 
< 0.1%
5 31
 
< 0.1%
6 28
 
< 0.1%
7 15
 
< 0.1%
8 14
 
< 0.1%
14 10
 
< 0.1%
Other values (62) 120
 
0.2%
ValueCountFrequency (%)
0 72966
99.1%
1 271
 
0.4%
2 115
 
0.2%
3 58
 
0.1%
4 35
 
< 0.1%
ValueCountFrequency (%)
17939 1
< 0.1%
13817 1
< 0.1%
12497 1
< 0.1%
10668 1
< 0.1%
6103 1
< 0.1%

V451
Real number (ℝ)

SKEWED  ZEROS 

Distinct226
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.133907118
Minimum0
Maximum28011
Zeros66855
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:09.941253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum28011
Range28011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation179.1342886
Coefficient of variation (CV)57.16005035
Kurtosis14523.61658
Mean3.133907118
Median Absolute Deviation (MAD)0
Skewness114.6400111
Sum230853
Variance32089.09336
MonotonicityNot monotonic
2024-03-09T21:15:10.192837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66855
90.8%
1 1988
 
2.7%
2 886
 
1.2%
3 549
 
0.7%
4 419
 
0.6%
5 320
 
0.4%
6 246
 
0.3%
7 210
 
0.3%
8 206
 
0.3%
9 149
 
0.2%
Other values (216) 1835
 
2.5%
ValueCountFrequency (%)
0 66855
90.8%
1 1988
 
2.7%
2 886
 
1.2%
3 549
 
0.7%
4 419
 
0.6%
ValueCountFrequency (%)
28011 1
< 0.1%
21199 1
< 0.1%
20455 1
< 0.1%
15327 1
< 0.1%
12412 1
< 0.1%

V452
Real number (ℝ)

ZEROS 

Distinct392
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.68131898
Minimum0
Maximum1097
Zeros24492
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:10.455832image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile56
Maximum1097
Range1097
Interquartile range (IQR)12

Descriptive statistics

Standard deviation33.07849081
Coefficient of variation (CV)2.608442455
Kurtosis212.2918819
Mean12.68131898
Median Absolute Deviation (MAD)4
Skewness11.16205214
Sum934144
Variance1094.186554
MonotonicityNot monotonic
2024-03-09T21:15:10.716438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24492
33.2%
2 4125
 
5.6%
1 3987
 
5.4%
3 3798
 
5.2%
4 3486
 
4.7%
5 3166
 
4.3%
6 2807
 
3.8%
7 2322
 
3.2%
8 2138
 
2.9%
9 1826
 
2.5%
Other values (382) 21516
29.2%
ValueCountFrequency (%)
0 24492
33.2%
1 3987
 
5.4%
2 4125
 
5.6%
3 3798
 
5.2%
4 3486
 
4.7%
ValueCountFrequency (%)
1097 1
< 0.1%
1008 1
< 0.1%
924 1
< 0.1%
907 1
< 0.1%
893 1
< 0.1%

V453
Real number (ℝ)

ZEROS 

Distinct760
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.6710696
Minimum0
Maximum5676
Zeros11349
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:10.967035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median14
Q337
95-th percentile161
Maximum5676
Range5676
Interquartile range (IQR)32

Descriptive statistics

Standard deviation94.08105871
Coefficient of variation (CV)2.37152816
Kurtosis367.3815221
Mean39.6710696
Median Absolute Deviation (MAD)12
Skewness13.0046874
Sum2922290
Variance8851.245609
MonotonicityNot monotonic
2024-03-09T21:15:11.222133image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11349
 
15.4%
7 2265
 
3.1%
8 2231
 
3.0%
9 2190
 
3.0%
6 2117
 
2.9%
11 2076
 
2.8%
10 2031
 
2.8%
5 1992
 
2.7%
12 1893
 
2.6%
13 1795
 
2.4%
Other values (750) 43724
59.4%
ValueCountFrequency (%)
0 11349
15.4%
1 1023
 
1.4%
2 1251
 
1.7%
3 1456
 
2.0%
4 1744
 
2.4%
ValueCountFrequency (%)
5676 1
< 0.1%
3688 1
< 0.1%
2860 1
< 0.1%
2739 1
< 0.1%
2506 1
< 0.1%

V454
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.280507175
Minimum0
Maximum4544
Zeros20185
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:11.493776image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile34
Maximum4544
Range4544
Interquartile range (IQR)8

Descriptive statistics

Standard deviation42.91865856
Coefficient of variation (CV)4.624602702
Kurtosis4498.744272
Mean9.280507175
Median Absolute Deviation (MAD)3
Skewness53.87758117
Sum683630
Variance1842.011252
MonotonicityNot monotonic
2024-03-09T21:15:11.762168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20185
27.4%
1 8611
11.7%
2 7390
 
10.0%
3 5814
 
7.9%
4 4535
 
6.2%
5 3608
 
4.9%
6 2683
 
3.6%
7 2274
 
3.1%
8 1894
 
2.6%
9 1514
 
2.1%
Other values (365) 15155
20.6%
ValueCountFrequency (%)
0 20185
27.4%
1 8611
11.7%
2 7390
 
10.0%
3 5814
 
7.9%
4 4535
 
6.2%
ValueCountFrequency (%)
4544 1
< 0.1%
4121 1
< 0.1%
3536 1
< 0.1%
3368 1
< 0.1%
2750 1
< 0.1%

V455
Real number (ℝ)

SKEWED  ZEROS 

Distinct194
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.164533076
Minimum0
Maximum4609
Zeros38334
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:12.029885image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum4609
Range4609
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.66563992
Coefficient of variation (CV)12.21843444
Kurtosis8785.673869
Mean3.164533076
Median Absolute Deviation (MAD)0
Skewness87.14690606
Sum233109
Variance1495.031711
MonotonicityNot monotonic
2024-03-09T21:15:12.297707image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38334
52.0%
1 12742
 
17.3%
2 6731
 
9.1%
3 3950
 
5.4%
4 2552
 
3.5%
5 1728
 
2.3%
6 1200
 
1.6%
7 892
 
1.2%
8 687
 
0.9%
9 504
 
0.7%
Other values (184) 4343
 
5.9%
ValueCountFrequency (%)
0 38334
52.0%
1 12742
 
17.3%
2 6731
 
9.1%
3 3950
 
5.4%
4 2552
 
3.5%
ValueCountFrequency (%)
4609 1
< 0.1%
4340 1
< 0.1%
4027 1
< 0.1%
3942 1
< 0.1%
2451 1
< 0.1%

V456
Real number (ℝ)

SKEWED  ZEROS 

Distinct136
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.378846911
Minimum0
Maximum4825
Zeros55971
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:12.539290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum4825
Range4825
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.74298566
Coefficient of variation (CV)25.19713058
Kurtosis11921.72939
Mean1.378846911
Median Absolute Deviation (MAD)0
Skewness102.6415205
Sum101570
Variance1207.075053
MonotonicityNot monotonic
2024-03-09T21:15:12.854087image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55971
76.0%
1 8999
 
12.2%
2 3133
 
4.3%
3 1474
 
2.0%
4 813
 
1.1%
5 565
 
0.8%
6 384
 
0.5%
7 324
 
0.4%
8 243
 
0.3%
9 193
 
0.3%
Other values (126) 1564
 
2.1%
ValueCountFrequency (%)
0 55971
76.0%
1 8999
 
12.2%
2 3133
 
4.3%
3 1474
 
2.0%
4 813
 
1.1%
ValueCountFrequency (%)
4825 1
< 0.1%
4317 1
< 0.1%
3772 1
< 0.1%
3426 1
< 0.1%
1921 1
< 0.1%

V457
Real number (ℝ)

SKEWED  ZEROS 

Distinct107
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8089678672
Minimum0
Maximum4555
Zeros64236
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:13.105680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4555
Range4555
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.01022283
Coefficient of variation (CV)38.33307117
Kurtosis14133.16897
Mean0.8089678672
Median Absolute Deviation (MAD)0
Skewness113.25074
Sum59591
Variance961.6339197
MonotonicityNot monotonic
2024-03-09T21:15:14.153611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64236
87.2%
1 5118
 
6.9%
2 1515
 
2.1%
3 702
 
1.0%
4 439
 
0.6%
5 296
 
0.4%
6 220
 
0.3%
7 162
 
0.2%
8 153
 
0.2%
9 106
 
0.1%
Other values (97) 716
 
1.0%
ValueCountFrequency (%)
0 64236
87.2%
1 5118
 
6.9%
2 1515
 
2.1%
3 702
 
1.0%
4 439
 
0.6%
ValueCountFrequency (%)
4555 1
< 0.1%
3913 1
< 0.1%
3539 1
< 0.1%
3346 1
< 0.1%
1430 1
< 0.1%

V458
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6094647245
Minimum0
Maximum4631
Zeros67452
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:14.409450image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4631
Range4631
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.69764668
Coefficient of variation (CV)50.3682091
Kurtosis14789.41917
Mean0.6094647245
Median Absolute Deviation (MAD)0
Skewness116.5034341
Sum44895
Variance942.3455117
MonotonicityNot monotonic
2024-03-09T21:15:14.662709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67452
91.6%
1 3384
 
4.6%
2 1020
 
1.4%
3 506
 
0.7%
4 271
 
0.4%
5 220
 
0.3%
7 125
 
0.2%
6 123
 
0.2%
8 100
 
0.1%
9 67
 
0.1%
Other values (80) 395
 
0.5%
ValueCountFrequency (%)
0 67452
91.6%
1 3384
 
4.6%
2 1020
 
1.4%
3 506
 
0.7%
4 271
 
0.4%
ValueCountFrequency (%)
4631 1
< 0.1%
3873 1
< 0.1%
3442 1
< 0.1%
3334 1
< 0.1%
1738 1
< 0.1%

V459
Real number (ℝ)

SKEWED  ZEROS 

Distinct84
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5172746155
Minimum0
Maximum4733
Zeros69176
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:14.930352image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4733
Range4733
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.70637351
Coefficient of variation (CV)59.36184106
Kurtosis16119.32894
Mean0.5172746155
Median Absolute Deviation (MAD)0
Skewness122.1018664
Sum38104
Variance942.881374
MonotonicityNot monotonic
2024-03-09T21:15:15.187269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69176
93.9%
1 2490
 
3.4%
2 741
 
1.0%
3 367
 
0.5%
4 216
 
0.3%
5 156
 
0.2%
6 103
 
0.1%
7 65
 
0.1%
8 50
 
0.1%
10 39
 
0.1%
Other values (74) 260
 
0.4%
ValueCountFrequency (%)
0 69176
93.9%
1 2490
 
3.4%
2 741
 
1.0%
3 367
 
0.5%
4 216
 
0.3%
ValueCountFrequency (%)
4733 1
< 0.1%
4101 1
< 0.1%
3431 1
< 0.1%
3327 1
< 0.1%
1480 1
< 0.1%

V460
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4566471634
Minimum0
Maximum4513
Zeros70169
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:15.457241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4513
Range4513
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.58423524
Coefficient of variation (CV)66.97563829
Kurtosis16283.9328
Mean0.4566471634
Median Absolute Deviation (MAD)0
Skewness123.6089581
Sum33638
Variance935.3954454
MonotonicityNot monotonic
2024-03-09T21:15:15.710274image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70169
95.3%
1 1995
 
2.7%
2 565
 
0.8%
3 259
 
0.4%
4 157
 
0.2%
5 126
 
0.2%
6 80
 
0.1%
7 54
 
0.1%
9 37
 
0.1%
8 35
 
< 0.1%
Other values (66) 186
 
0.3%
ValueCountFrequency (%)
0 70169
95.3%
1 1995
 
2.7%
2 565
 
0.8%
3 259
 
0.4%
4 157
 
0.2%
ValueCountFrequency (%)
4513 1
< 0.1%
4285 1
< 0.1%
3570 1
< 0.1%
3365 1
< 0.1%
1308 1
< 0.1%

V461
Real number (ℝ)

SKEWED  ZEROS 

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4197629746
Minimum0
Maximum4457
Zeros70774
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:15.992857image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4457
Range4457
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.16802554
Coefficient of variation (CV)71.86919134
Kurtosis16162.22842
Mean0.4197629746
Median Absolute Deviation (MAD)0
Skewness123.4502939
Sum30921
Variance910.109765
MonotonicityNot monotonic
2024-03-09T21:15:16.243804image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70774
96.1%
1 1704
 
2.3%
2 481
 
0.7%
3 197
 
0.3%
4 118
 
0.2%
5 85
 
0.1%
6 60
 
0.1%
7 47
 
0.1%
8 33
 
< 0.1%
10 21
 
< 0.1%
Other values (60) 143
 
0.2%
ValueCountFrequency (%)
0 70774
96.1%
1 1704
 
2.3%
2 481
 
0.7%
3 197
 
0.3%
4 118
 
0.2%
ValueCountFrequency (%)
4457 1
< 0.1%
4085 1
< 0.1%
3628 1
< 0.1%
3396 1
< 0.1%
1382 1
< 0.1%

V462
Real number (ℝ)

SKEWED  ZEROS 

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4115906222
Minimum0
Maximum4268
Zeros71014
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:16.515774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4268
Range4268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.39889922
Coefficient of variation (CV)73.85712302
Kurtosis15919.30131
Mean0.4115906222
Median Absolute Deviation (MAD)0
Skewness123.0780311
Sum30319
Variance924.0930736
MonotonicityNot monotonic
2024-03-09T21:15:16.768142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71014
96.4%
1 1534
 
2.1%
2 448
 
0.6%
3 199
 
0.3%
4 114
 
0.2%
5 81
 
0.1%
6 55
 
0.1%
7 32
 
< 0.1%
8 27
 
< 0.1%
12 17
 
< 0.1%
Other values (58) 142
 
0.2%
ValueCountFrequency (%)
0 71014
96.4%
1 1534
 
2.1%
2 448
 
0.6%
3 199
 
0.3%
4 114
 
0.2%
ValueCountFrequency (%)
4268 1
< 0.1%
4091 1
< 0.1%
3838 1
< 0.1%
3591 1
< 0.1%
1388 1
< 0.1%

V463
Real number (ℝ)

SKEWED  ZEROS 

Distinct183
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.467914693
Minimum0
Maximum70710
Zeros66236
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:17.035976image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum70710
Range70710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation477.5724642
Coefficient of variation (CV)87.34087693
Kurtosis17432.6245
Mean5.467914693
Median Absolute Deviation (MAD)0
Skewness129.7938206
Sum402783
Variance228075.4586
MonotonicityNot monotonic
2024-03-09T21:15:17.305785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66236
89.9%
1 2556
 
3.5%
2 1099
 
1.5%
3 659
 
0.9%
4 488
 
0.7%
5 356
 
0.5%
6 297
 
0.4%
7 244
 
0.3%
8 182
 
0.2%
9 150
 
0.2%
Other values (173) 1396
 
1.9%
ValueCountFrequency (%)
0 66236
89.9%
1 2556
 
3.5%
2 1099
 
1.5%
3 659
 
0.9%
4 488
 
0.7%
ValueCountFrequency (%)
70710 1
< 0.1%
63504 1
< 0.1%
62603 1
< 0.1%
56397 1
< 0.1%
13568 1
< 0.1%

V464
Real number (ℝ)

SKEWED  ZEROS 

Distinct1072
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.8678984
Minimum0
Maximum111626
Zeros8348
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:17.577996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q366
95-th percentile258
Maximum111626
Range111626
Interquartile range (IQR)54

Descriptive statistics

Standard deviation789.9114508
Coefficient of variation (CV)10.55073627
Kurtosis15008.60683
Mean74.8678984
Median Absolute Deviation (MAD)19
Skewness117.4329893
Sum5514994
Variance623960.1001
MonotonicityNot monotonic
2024-03-09T21:15:17.846082image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8348
 
11.3%
12 1551
 
2.1%
15 1499
 
2.0%
16 1497
 
2.0%
14 1490
 
2.0%
11 1427
 
1.9%
13 1423
 
1.9%
17 1418
 
1.9%
10 1408
 
1.9%
18 1367
 
1.9%
Other values (1062) 52235
70.9%
ValueCountFrequency (%)
0 8348
11.3%
1 267
 
0.4%
2 306
 
0.4%
3 398
 
0.5%
4 527
 
0.7%
ValueCountFrequency (%)
111626 1
< 0.1%
100746 1
< 0.1%
100311 1
< 0.1%
91506 1
< 0.1%
29549 1
< 0.1%

V465
Real number (ℝ)

ZEROS 

Distinct203
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.296254565
Minimum0
Maximum800
Zeros34783
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:18.113466image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile19
Maximum800
Range800
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.6311296
Coefficient of variation (CV)2.940032862
Kurtosis537.1973515
Mean4.296254565
Median Absolute Deviation (MAD)1
Skewness16.02984011
Sum316475
Variance159.545435
MonotonicityNot monotonic
2024-03-09T21:15:18.399889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34783
47.2%
1 7887
 
10.7%
2 6135
 
8.3%
3 4614
 
6.3%
4 3208
 
4.4%
5 2563
 
3.5%
6 1884
 
2.6%
7 1548
 
2.1%
8 1203
 
1.6%
9 1014
 
1.4%
Other values (193) 8824
 
12.0%
ValueCountFrequency (%)
0 34783
47.2%
1 7887
 
10.7%
2 6135
 
8.3%
3 4614
 
6.3%
4 3208
 
4.4%
ValueCountFrequency (%)
800 1
< 0.1%
640 1
< 0.1%
422 1
< 0.1%
419 1
< 0.1%
413 1
< 0.1%

V466
Real number (ℝ)

ZEROS 

Distinct378
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.69657766
Minimum0
Maximum1918
Zeros18543
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:18.670085image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q313
95-th percentile57
Maximum1918
Range1918
Interquartile range (IQR)13

Descriptive statistics

Standard deviation33.68869143
Coefficient of variation (CV)2.459643005
Kurtosis394.2437097
Mean13.69657766
Median Absolute Deviation (MAD)5
Skewness13.92276624
Sum1008931
Variance1134.92793
MonotonicityNot monotonic
2024-03-09T21:15:18.968820image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18543
25.2%
2 4493
 
6.1%
3 4429
 
6.0%
4 4202
 
5.7%
1 3830
 
5.2%
5 3798
 
5.2%
6 3332
 
4.5%
7 2712
 
3.7%
8 2336
 
3.2%
9 1996
 
2.7%
Other values (368) 23992
32.6%
ValueCountFrequency (%)
0 18543
25.2%
1 3830
 
5.2%
2 4493
 
6.1%
3 4429
 
6.0%
4 4202
 
5.7%
ValueCountFrequency (%)
1918 1
< 0.1%
1142 1
< 0.1%
1137 1
< 0.1%
1105 1
< 0.1%
1078 1
< 0.1%

V467
Real number (ℝ)

SKEWED  ZEROS 

Distinct183
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.594070293
Minimum0
Maximum1792
Zeros31257
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:19.236269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum1792
Range1792
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.67581999
Coefficient of variation (CV)3.52687036
Kurtosis5781.646672
Mean3.594070293
Median Absolute Deviation (MAD)1
Skewness49.81234928
Sum264750
Variance160.6764124
MonotonicityNot monotonic
2024-03-09T21:15:19.511629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31257
42.4%
1 11478
 
15.6%
2 7773
 
10.6%
3 5073
 
6.9%
4 3511
 
4.8%
5 2589
 
3.5%
6 1944
 
2.6%
7 1470
 
2.0%
8 1187
 
1.6%
9 940
 
1.3%
Other values (173) 6441
 
8.7%
ValueCountFrequency (%)
0 31257
42.4%
1 11478
 
15.6%
2 7773
 
10.6%
3 5073
 
6.9%
4 3511
 
4.8%
ValueCountFrequency (%)
1792 1
< 0.1%
748 1
< 0.1%
608 1
< 0.1%
596 1
< 0.1%
411 1
< 0.1%

V468
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.019494183
Minimum0
Maximum1212
Zeros50980
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:19.794115image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum1212
Range1212
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.556143212
Coefficient of variation (CV)7.411658976
Kurtosis13993.85852
Mean1.019494183
Median Absolute Deviation (MAD)0
Skewness102.1820497
Sum75099
Variance57.09530024
MonotonicityNot monotonic
2024-03-09T21:15:20.077252image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50980
69.2%
1 11011
 
14.9%
2 4571
 
6.2%
3 2228
 
3.0%
4 1340
 
1.8%
5 849
 
1.2%
6 541
 
0.7%
7 396
 
0.5%
8 310
 
0.4%
9 216
 
0.3%
Other values (76) 1221
 
1.7%
ValueCountFrequency (%)
0 50980
69.2%
1 11011
 
14.9%
2 4571
 
6.2%
3 2228
 
3.0%
4 1340
 
1.8%
ValueCountFrequency (%)
1212 1
< 0.1%
991 1
< 0.1%
580 1
< 0.1%
573 1
< 0.1%
373 1
< 0.1%

V469
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3448949948
Minimum0
Maximum853
Zeros64338
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:20.347615image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum853
Range853
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.083572421
Coefficient of variation (CV)14.73947868
Kurtosis16392.04359
Mean0.3448949948
Median Absolute Deviation (MAD)0
Skewness115.7824695
Sum25406
Variance25.84270856
MonotonicityNot monotonic
2024-03-09T21:15:20.604025image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64338
87.3%
1 5768
 
7.8%
2 1586
 
2.2%
3 676
 
0.9%
4 340
 
0.5%
5 239
 
0.3%
6 136
 
0.2%
8 104
 
0.1%
7 92
 
0.1%
10 58
 
0.1%
Other values (51) 326
 
0.4%
ValueCountFrequency (%)
0 64338
87.3%
1 5768
 
7.8%
2 1586
 
2.2%
3 676
 
0.9%
4 340
 
0.5%
ValueCountFrequency (%)
853 1
< 0.1%
666 1
< 0.1%
460 1
< 0.1%
418 1
< 0.1%
253 1
< 0.1%

V470
Real number (ℝ)

SKEWED  ZEROS 

Distinct43
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1573924494
Minimum0
Maximum623
Zeros69450
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:20.836069image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum623
Range623
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.393454435
Coefficient of variation (CV)21.56046524
Kurtosis18884.01102
Mean0.1573924494
Median Absolute Deviation (MAD)0
Skewness123.2067603
Sum11594
Variance11.515533
MonotonicityNot monotonic
2024-03-09T21:15:21.105527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 69450
94.3%
1 2724
 
3.7%
2 636
 
0.9%
3 276
 
0.4%
4 152
 
0.2%
5 106
 
0.1%
6 64
 
0.1%
8 42
 
0.1%
7 40
 
0.1%
10 35
 
< 0.1%
Other values (33) 138
 
0.2%
ValueCountFrequency (%)
0 69450
94.3%
1 2724
 
3.7%
2 636
 
0.9%
3 276
 
0.4%
4 152
 
0.2%
ValueCountFrequency (%)
623 1
< 0.1%
347 1
< 0.1%
337 1
< 0.1%
243 1
< 0.1%
208 1
< 0.1%

V471
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09422640946
Minimum0
Maximum317
Zeros71217
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:21.359870image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum317
Range317
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.315960767
Coefficient of variation (CV)24.57868002
Kurtosis11776.22666
Mean0.09422640946
Median Absolute Deviation (MAD)0
Skewness99.86032383
Sum6941
Variance5.363674276
MonotonicityNot monotonic
2024-03-09T21:15:21.613839image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 71217
96.7%
1 1588
 
2.2%
2 374
 
0.5%
3 164
 
0.2%
4 96
 
0.1%
5 55
 
0.1%
6 25
 
< 0.1%
8 22
 
< 0.1%
7 21
 
< 0.1%
10 21
 
< 0.1%
Other values (28) 80
 
0.1%
ValueCountFrequency (%)
0 71217
96.7%
1 1588
 
2.2%
2 374
 
0.5%
3 164
 
0.2%
4 96
 
0.1%
ValueCountFrequency (%)
317 1
< 0.1%
314 1
< 0.1%
216 1
< 0.1%
191 1
< 0.1%
175 1
< 0.1%

V472
Real number (ℝ)

SKEWED  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06729294218
Minimum0
Maximum324
Zeros72070
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:21.849226image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum324
Range324
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.277506481
Coefficient of variation (CV)33.84465602
Kurtosis13323.79976
Mean0.06729294218
Median Absolute Deviation (MAD)0
Skewness109.2001827
Sum4957
Variance5.18703577
MonotonicityNot monotonic
2024-03-09T21:15:22.116702image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 72070
97.8%
1 1025
 
1.4%
2 273
 
0.4%
3 102
 
0.1%
4 46
 
0.1%
5 43
 
0.1%
6 22
 
< 0.1%
10 11
 
< 0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
Other values (25) 54
 
0.1%
ValueCountFrequency (%)
0 72070
97.8%
1 1025
 
1.4%
2 273
 
0.4%
3 102
 
0.1%
4 46
 
0.1%
ValueCountFrequency (%)
324 1
< 0.1%
285 1
< 0.1%
265 1
< 0.1%
237 1
< 0.1%
146 1
< 0.1%

V473
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05367687984
Minimum0
Maximum446
Zeros72460
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:22.355633image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum446
Range446
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.392591722
Coefficient of variation (CV)44.57397168
Kurtosis24747.56757
Mean0.05367687984
Median Absolute Deviation (MAD)0
Skewness147.2377481
Sum3954
Variance5.724495148
MonotonicityNot monotonic
2024-03-09T21:15:22.595211image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 72460
98.4%
1 814
 
1.1%
2 169
 
0.2%
3 74
 
0.1%
4 40
 
0.1%
5 24
 
< 0.1%
6 19
 
< 0.1%
10 11
 
< 0.1%
7 9
 
< 0.1%
12 6
 
< 0.1%
Other values (26) 37
 
0.1%
ValueCountFrequency (%)
0 72460
98.4%
1 814
 
1.1%
2 169
 
0.2%
3 74
 
0.1%
4 40
 
0.1%
ValueCountFrequency (%)
446 1
< 0.1%
372 1
< 0.1%
155 1
< 0.1%
120 1
< 0.1%
115 1
< 0.1%

V474
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04892551213
Minimum0
Maximum547
Zeros72688
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:22.831510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum547
Range547
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.58416384
Coefficient of variation (CV)52.81832989
Kurtosis32130.62547
Mean0.04892551213
Median Absolute Deviation (MAD)0
Skewness167.8053329
Sum3604
Variance6.677902751
MonotonicityNot monotonic
2024-03-09T21:15:23.067173image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 72688
98.7%
1 654
 
0.9%
2 137
 
0.2%
3 66
 
0.1%
4 24
 
< 0.1%
5 15
 
< 0.1%
7 13
 
< 0.1%
8 9
 
< 0.1%
10 8
 
< 0.1%
6 8
 
< 0.1%
Other values (24) 41
 
0.1%
ValueCountFrequency (%)
0 72688
98.7%
1 654
 
0.9%
2 137
 
0.2%
3 66
 
0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
547 1
< 0.1%
352 1
< 0.1%
146 1
< 0.1%
106 1
< 0.1%
98 1
< 0.1%

V475
Real number (ℝ)

SKEWED  ZEROS 

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4857934105
Minimum0
Maximum10741
Zeros70406
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:23.340834image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10741
Range10741
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.99613558
Coefficient of variation (CV)84.39006106
Kurtosis64006.81529
Mean0.4857934105
Median Absolute Deviation (MAD)0
Skewness245.7837075
Sum35785
Variance1680.683132
MonotonicityNot monotonic
2024-03-09T21:15:23.611777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70406
95.6%
1 1435
 
1.9%
2 599
 
0.8%
3 294
 
0.4%
4 188
 
0.3%
5 131
 
0.2%
6 90
 
0.1%
7 72
 
0.1%
8 63
 
0.1%
9 43
 
0.1%
Other values (85) 342
 
0.5%
ValueCountFrequency (%)
0 70406
95.6%
1 1435
 
1.9%
2 599
 
0.8%
3 294
 
0.4%
4 188
 
0.3%
ValueCountFrequency (%)
10741 1
< 0.1%
1425 1
< 0.1%
1373 1
< 0.1%
1013 1
< 0.1%
892 1
< 0.1%

V476
Real number (ℝ)

SKEWED  ZEROS 

Distinct537
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.8585993
Minimum0
Maximum14674
Zeros14375
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:23.861819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q324
95-th percentile92
Maximum14674
Range14674
Interquartile range (IQR)21

Descriptive statistics

Standard deviation86.4858784
Coefficient of variation (CV)3.624935283
Kurtosis13130.80733
Mean23.8585993
Median Absolute Deviation (MAD)9
Skewness88.94121822
Sum1757496
Variance7479.807162
MonotonicityNot monotonic
2024-03-09T21:15:24.144968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14375
19.5%
6 2969
 
4.0%
5 2909
 
3.9%
4 2878
 
3.9%
7 2842
 
3.9%
8 2637
 
3.6%
3 2598
 
3.5%
9 2397
 
3.3%
10 2277
 
3.1%
2 2153
 
2.9%
Other values (527) 35628
48.4%
ValueCountFrequency (%)
0 14375
19.5%
1 1702
 
2.3%
2 2153
 
2.9%
3 2598
 
3.5%
4 2878
 
3.9%
ValueCountFrequency (%)
14674 1
< 0.1%
9235 1
< 0.1%
4699 1
< 0.1%
2868 1
< 0.1%
2813 1
< 0.1%

V477
Real number (ℝ)

SKEWED  ZEROS 

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2970962356
Minimum0
Maximum536
Zeros70974
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:24.416009image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum536
Range536
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.607002485
Coefficient of variation (CV)15.50676829
Kurtosis5943.991732
Mean0.2970962356
Median Absolute Deviation (MAD)0
Skewness66.06039685
Sum21885
Variance21.2244719
MonotonicityNot monotonic
2024-03-09T21:15:24.685321image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70974
96.3%
1 739
 
1.0%
2 400
 
0.5%
3 284
 
0.4%
4 214
 
0.3%
5 166
 
0.2%
6 106
 
0.1%
7 85
 
0.1%
8 70
 
0.1%
10 69
 
0.1%
Other values (71) 556
 
0.8%
ValueCountFrequency (%)
0 70974
96.3%
1 739
 
1.0%
2 400
 
0.5%
3 284
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
536 1
< 0.1%
430 1
< 0.1%
390 1
< 0.1%
381 1
< 0.1%
362 1
< 0.1%

V478
Real number (ℝ)

SKEWED  ZEROS 

Distinct164
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.139934567
Minimum0
Maximum1137
Zeros66309
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:24.952786image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1137
Range1137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.96035256
Coefficient of variation (CV)10.49213955
Kurtosis4482.675601
Mean1.139934567
Median Absolute Deviation (MAD)0
Skewness55.25435747
Sum83971
Variance143.0500333
MonotonicityNot monotonic
2024-03-09T21:15:26.030438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66309
90.0%
1 2263
 
3.1%
2 998
 
1.4%
3 634
 
0.9%
4 421
 
0.6%
5 351
 
0.5%
6 291
 
0.4%
7 237
 
0.3%
8 194
 
0.3%
10 176
 
0.2%
Other values (154) 1789
 
2.4%
ValueCountFrequency (%)
0 66309
90.0%
1 2263
 
3.1%
2 998
 
1.4%
3 634
 
0.9%
4 421
 
0.6%
ValueCountFrequency (%)
1137 1
< 0.1%
1048 1
< 0.1%
1021 1
< 0.1%
992 1
< 0.1%
991 1
< 0.1%

V479
Real number (ℝ)

SKEWED  ZEROS 

Distinct141
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8053161017
Minimum0
Maximum1076
Zeros64260
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:26.313039image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1076
Range1076
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.162809924
Coefficient of variation (CV)10.13615636
Kurtosis6439.736264
Mean0.8053161017
Median Absolute Deviation (MAD)0
Skewness62.01071046
Sum59322
Variance66.63146586
MonotonicityNot monotonic
2024-03-09T21:15:26.585092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64260
87.2%
1 3786
 
5.1%
2 1634
 
2.2%
3 949
 
1.3%
4 567
 
0.8%
5 388
 
0.5%
6 310
 
0.4%
7 237
 
0.3%
8 178
 
0.2%
9 174
 
0.2%
Other values (131) 1180
 
1.6%
ValueCountFrequency (%)
0 64260
87.2%
1 3786
 
5.1%
2 1634
 
2.2%
3 949
 
1.3%
4 567
 
0.8%
ValueCountFrequency (%)
1076 1
< 0.1%
804 1
< 0.1%
738 1
< 0.1%
320 1
< 0.1%
280 1
< 0.1%

V480
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3028386028
Minimum0
Maximum833
Zeros68414
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:26.852046image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum833
Range833
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.743225249
Coefficient of variation (CV)18.96464056
Kurtosis15549.34556
Mean0.3028386028
Median Absolute Deviation (MAD)0
Skewness113.9461418
Sum22308
Variance32.98463626
MonotonicityNot monotonic
2024-03-09T21:15:27.123697image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68414
92.9%
1 2682
 
3.6%
2 893
 
1.2%
3 467
 
0.6%
4 265
 
0.4%
5 187
 
0.3%
6 130
 
0.2%
8 85
 
0.1%
7 83
 
0.1%
9 60
 
0.1%
Other values (66) 397
 
0.5%
ValueCountFrequency (%)
0 68414
92.9%
1 2682
 
3.6%
2 893
 
1.2%
3 467
 
0.6%
4 265
 
0.4%
ValueCountFrequency (%)
833 1
< 0.1%
823 1
< 0.1%
740 1
< 0.1%
241 1
< 0.1%
200 1
< 0.1%

V481
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1408848404
Minimum0
Maximum753
Zeros71154
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:27.389186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum753
Range753
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.617046975
Coefficient of variation (CV)32.77177985
Kurtosis19107.14823
Mean0.1408848404
Median Absolute Deviation (MAD)0
Skewness130.9228758
Sum10378
Variance21.31712277
MonotonicityNot monotonic
2024-03-09T21:15:27.658748image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71154
96.6%
1 1388
 
1.9%
2 420
 
0.6%
3 178
 
0.2%
4 130
 
0.2%
5 91
 
0.1%
6 50
 
0.1%
7 40
 
0.1%
8 35
 
< 0.1%
9 26
 
< 0.1%
Other values (44) 151
 
0.2%
ValueCountFrequency (%)
0 71154
96.6%
1 1388
 
1.9%
2 420
 
0.6%
3 178
 
0.2%
4 130
 
0.2%
ValueCountFrequency (%)
753 1
< 0.1%
642 1
< 0.1%
617 1
< 0.1%
209 1
< 0.1%
191 1
< 0.1%

V482
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06947857133
Minimum0
Maximum577
Zeros72406
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:27.925973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum577
Range577
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6470241
Coefficient of variation (CV)52.49135136
Kurtosis20294.31838
Mean0.06947857133
Median Absolute Deviation (MAD)0
Skewness137.9779391
Sum5118
Variance13.30078478
MonotonicityNot monotonic
2024-03-09T21:15:28.177213image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 72406
98.3%
1 729
 
1.0%
2 221
 
0.3%
3 108
 
0.1%
4 52
 
0.1%
5 36
 
< 0.1%
6 27
 
< 0.1%
9 12
 
< 0.1%
8 12
 
< 0.1%
10 11
 
< 0.1%
Other values (22) 49
 
0.1%
ValueCountFrequency (%)
0 72406
98.3%
1 729
 
1.0%
2 221
 
0.3%
3 108
 
0.1%
4 52
 
0.1%
ValueCountFrequency (%)
577 1
< 0.1%
565 1
< 0.1%
468 1
< 0.1%
240 1
< 0.1%
152 1
< 0.1%

V483
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04904769016
Minimum0
Maximum536
Zeros72903
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:28.405422image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum536
Range536
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.341990991
Coefficient of variation (CV)68.13758162
Kurtosis20048.49875
Mean0.04904769016
Median Absolute Deviation (MAD)0
Skewness138.0570874
Sum3613
Variance11.16890379
MonotonicityNot monotonic
2024-03-09T21:15:28.640409image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 72903
99.0%
1 465
 
0.6%
2 135
 
0.2%
3 55
 
0.1%
5 21
 
< 0.1%
6 17
 
< 0.1%
4 17
 
< 0.1%
8 11
 
< 0.1%
7 7
 
< 0.1%
10 5
 
< 0.1%
Other values (18) 27
 
< 0.1%
ValueCountFrequency (%)
0 72903
99.0%
1 465
 
0.6%
2 135
 
0.2%
3 55
 
0.1%
4 17
 
< 0.1%
ValueCountFrequency (%)
536 1
< 0.1%
496 1
< 0.1%
436 1
< 0.1%
263 1
< 0.1%
134 1
< 0.1%

V484
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03902909195
Minimum0
Maximum589
Zeros73185
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:28.860586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum589
Range589
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.294276063
Coefficient of variation (CV)84.40565482
Kurtosis21855.71714
Mean0.03902909195
Median Absolute Deviation (MAD)0
Skewness143.1727682
Sum2875
Variance10.85225478
MonotonicityNot monotonic
2024-03-09T21:15:29.095620image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 73185
99.4%
1 284
 
0.4%
2 92
 
0.1%
3 30
 
< 0.1%
4 21
 
< 0.1%
5 17
 
< 0.1%
7 6
 
< 0.1%
8 4
 
< 0.1%
6 4
 
< 0.1%
9 4
 
< 0.1%
Other values (13) 16
 
< 0.1%
ValueCountFrequency (%)
0 73185
99.4%
1 284
 
0.4%
2 92
 
0.1%
3 30
 
< 0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
589 1
< 0.1%
443 1
< 0.1%
394 1
< 0.1%
284 1
< 0.1%
119 1
< 0.1%

V485
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03373471078
Minimum0
Maximum598
Zeros73332
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:29.322241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum598
Range598
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.170713164
Coefficient of variation (CV)93.98963535
Kurtosis24251.03552
Mean0.03373471078
Median Absolute Deviation (MAD)0
Skewness149.7534089
Sum2485
Variance10.05342197
MonotonicityNot monotonic
2024-03-09T21:15:29.548280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 73332
99.6%
1 194
 
0.3%
2 56
 
0.1%
3 27
 
< 0.1%
4 11
 
< 0.1%
5 10
 
< 0.1%
6 10
 
< 0.1%
10 4
 
< 0.1%
8 4
 
< 0.1%
11 2
 
< 0.1%
Other values (12) 13
 
< 0.1%
ValueCountFrequency (%)
0 73332
99.6%
1 194
 
0.3%
2 56
 
0.1%
3 27
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
598 1
< 0.1%
434 1
< 0.1%
338 1
< 0.1%
252 1
< 0.1%
113 1
< 0.1%

V486
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03211924575
Minimum0
Maximum610
Zeros73380
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:29.752769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum610
Range610
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.175523752
Coefficient of variation (CV)98.86669744
Kurtosis25219.85701
Mean0.03211924575
Median Absolute Deviation (MAD)0
Skewness152.5401544
Sum2366
Variance10.0839511
MonotonicityNot monotonic
2024-03-09T21:15:29.988362image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 73380
99.6%
1 172
 
0.2%
2 46
 
0.1%
3 15
 
< 0.1%
5 12
 
< 0.1%
4 11
 
< 0.1%
6 6
 
< 0.1%
7 3
 
< 0.1%
13 3
 
< 0.1%
8 2
 
< 0.1%
Other values (13) 13
 
< 0.1%
ValueCountFrequency (%)
0 73380
99.6%
1 172
 
0.2%
2 46
 
0.1%
3 15
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
610 1
< 0.1%
417 1
< 0.1%
367 1
< 0.1%
209 1
< 0.1%
121 1
< 0.1%

V487
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5896854595
Minimum0
Maximum16300
Zeros72949
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:30.239301image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16300
Range16300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.5919589
Coefficient of variation (CV)131.5819436
Kurtosis31438.75256
Mean0.5896854595
Median Absolute Deviation (MAD)0
Skewness169.6779798
Sum43438
Variance6020.512086
MonotonicityNot monotonic
2024-03-09T21:15:30.511157image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72949
99.0%
1 305
 
0.4%
2 132
 
0.2%
3 71
 
0.1%
4 41
 
0.1%
5 32
 
< 0.1%
6 18
 
< 0.1%
7 13
 
< 0.1%
10 13
 
< 0.1%
8 12
 
< 0.1%
Other values (42) 77
 
0.1%
ValueCountFrequency (%)
0 72949
99.0%
1 305
 
0.4%
2 132
 
0.2%
3 71
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
16300 1
< 0.1%
9322 1
< 0.1%
8685 1
< 0.1%
3060 1
< 0.1%
2454 1
< 0.1%

V488
Real number (ℝ)

SKEWED  ZEROS 

Distinct280
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.499165117
Minimum0
Maximum23241
Zeros59958
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:30.779433image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum23241
Range23241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation115.6332065
Coefficient of variation (CV)33.04594171
Kurtosis27370.59277
Mean3.499165117
Median Absolute Deviation (MAD)0
Skewness156.052345
Sum257759
Variance13371.03844
MonotonicityNot monotonic
2024-03-09T21:15:31.046228image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59958
81.4%
1 3971
 
5.4%
2 1880
 
2.6%
3 1168
 
1.6%
4 792
 
1.1%
5 647
 
0.9%
6 490
 
0.7%
7 443
 
0.6%
8 372
 
0.5%
9 296
 
0.4%
Other values (270) 3646
 
4.9%
ValueCountFrequency (%)
0 59958
81.4%
1 3971
 
5.4%
2 1880
 
2.6%
3 1168
 
1.6%
4 792
 
1.1%
ValueCountFrequency (%)
23241 1
< 0.1%
13598 1
< 0.1%
13568 1
< 0.1%
4689 1
< 0.1%
4320 1
< 0.1%

V489
Real number (ℝ)

ZEROS 

Distinct225
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.433297585
Minimum0
Maximum870
Zeros33517
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:31.297931image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum870
Range870
Interquartile range (IQR)5

Descriptive statistics

Standard deviation15.5554285
Coefficient of variation (CV)2.862981137
Kurtosis404.1778662
Mean5.433297585
Median Absolute Deviation (MAD)1
Skewness13.77262385
Sum400233
Variance241.9713558
MonotonicityNot monotonic
2024-03-09T21:15:31.580067image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33517
45.5%
1 6963
 
9.5%
2 5801
 
7.9%
3 4712
 
6.4%
4 3524
 
4.8%
5 2589
 
3.5%
6 2027
 
2.8%
7 1591
 
2.2%
8 1280
 
1.7%
9 1048
 
1.4%
Other values (215) 10611
 
14.4%
ValueCountFrequency (%)
0 33517
45.5%
1 6963
 
9.5%
2 5801
 
7.9%
3 4712
 
6.4%
4 3524
 
4.8%
ValueCountFrequency (%)
870 1
< 0.1%
798 1
< 0.1%
510 1
< 0.1%
455 2
< 0.1%
440 1
< 0.1%

V490
Real number (ℝ)

ZEROS 

Distinct433
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.57620515
Minimum0
Maximum1712
Zeros18349
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:31.839372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile72
Maximum1712
Range1712
Interquartile range (IQR)14

Descriptive statistics

Standard deviation41.0198436
Coefficient of variation (CV)2.4746221
Kurtosis240.595089
Mean16.57620515
Median Absolute Deviation (MAD)5
Skewness11.3046697
Sum1221053
Variance1682.627569
MonotonicityNot monotonic
2024-03-09T21:15:32.114502image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18349
24.9%
4 4094
 
5.6%
3 4031
 
5.5%
2 3929
 
5.3%
5 3557
 
4.8%
1 3318
 
4.5%
6 3240
 
4.4%
7 2791
 
3.8%
8 2315
 
3.1%
9 2120
 
2.9%
Other values (423) 25919
35.2%
ValueCountFrequency (%)
0 18349
24.9%
1 3318
 
4.5%
2 3929
 
5.3%
3 4031
 
5.5%
4 4094
 
5.6%
ValueCountFrequency (%)
1712 1
< 0.1%
1250 1
< 0.1%
1204 1
< 0.1%
1179 1
< 0.1%
1168 1
< 0.1%

V491
Real number (ℝ)

SKEWED  ZEROS 

Distinct187
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.22361294
Minimum0
Maximum1678
Zeros34458
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:32.388935image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum1678
Range1678
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.21618905
Coefficient of variation (CV)4.099806426
Kurtosis4372.424485
Mean3.22361294
Median Absolute Deviation (MAD)1
Skewness45.6915557
Sum237461
Variance174.6676529
MonotonicityNot monotonic
2024-03-09T21:15:32.671992image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34458
46.8%
1 12074
 
16.4%
2 7475
 
10.1%
3 4547
 
6.2%
4 3042
 
4.1%
5 2188
 
3.0%
6 1607
 
2.2%
7 1202
 
1.6%
8 971
 
1.3%
9 760
 
1.0%
Other values (177) 5339
 
7.2%
ValueCountFrequency (%)
0 34458
46.8%
1 12074
 
16.4%
2 7475
 
10.1%
3 4547
 
6.2%
4 3042
 
4.1%
ValueCountFrequency (%)
1678 1
< 0.1%
890 1
< 0.1%
846 1
< 0.1%
765 1
< 0.1%
754 1
< 0.1%

V492
Real number (ℝ)

SKEWED  ZEROS 

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7864735349
Minimum0
Maximum1110
Zeros54529
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:32.970692image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum1110
Range1110
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.803165117
Coefficient of variation (CV)8.650214934
Kurtosis14346.94698
Mean0.7864735349
Median Absolute Deviation (MAD)0
Skewness105.3611468
Sum57934
Variance46.28305561
MonotonicityNot monotonic
2024-03-09T21:15:33.221407image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54529
74.0%
1 10241
 
13.9%
2 3804
 
5.2%
3 1680
 
2.3%
4 920
 
1.2%
5 586
 
0.8%
6 349
 
0.5%
7 264
 
0.4%
8 202
 
0.3%
9 167
 
0.2%
Other values (71) 921
 
1.3%
ValueCountFrequency (%)
0 54529
74.0%
1 10241
 
13.9%
2 3804
 
5.2%
3 1680
 
2.3%
4 920
 
1.2%
ValueCountFrequency (%)
1110 1
< 0.1%
778 1
< 0.1%
743 1
< 0.1%
516 1
< 0.1%
289 1
< 0.1%

V493
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2783894221
Minimum0
Maximum687
Zeros65969
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:33.505648image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum687
Range687
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.496693249
Coefficient of variation (CV)16.15252912
Kurtosis14781.62786
Mean0.2783894221
Median Absolute Deviation (MAD)0
Skewness112.0587817
Sum20507
Variance20.22025017
MonotonicityNot monotonic
2024-03-09T21:15:33.769022image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65969
89.6%
1 4923
 
6.7%
2 1226
 
1.7%
3 520
 
0.7%
4 270
 
0.4%
5 194
 
0.3%
6 111
 
0.2%
7 68
 
0.1%
8 63
 
0.1%
9 52
 
0.1%
Other values (44) 267
 
0.4%
ValueCountFrequency (%)
0 65969
89.6%
1 4923
 
6.7%
2 1226
 
1.7%
3 520
 
0.7%
4 270
 
0.4%
ValueCountFrequency (%)
687 1
< 0.1%
603 1
< 0.1%
508 1
< 0.1%
382 1
< 0.1%
215 1
< 0.1%

V494
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14813407
Minimum0
Maximum567
Zeros69761
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:34.020247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum567
Range567
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.324587834
Coefficient of variation (CV)22.44310059
Kurtosis17157.03941
Mean0.14813407
Median Absolute Deviation (MAD)0
Skewness118.5225004
Sum10912
Variance11.05288427
MonotonicityNot monotonic
2024-03-09T21:15:34.271701image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 69761
94.7%
1 2552
 
3.5%
2 583
 
0.8%
3 254
 
0.3%
4 144
 
0.2%
5 99
 
0.1%
6 51
 
0.1%
8 38
 
0.1%
9 28
 
< 0.1%
10 25
 
< 0.1%
Other values (36) 128
 
0.2%
ValueCountFrequency (%)
0 69761
94.7%
1 2552
 
3.5%
2 583
 
0.8%
3 254
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
567 1
< 0.1%
447 1
< 0.1%
287 1
< 0.1%
223 1
< 0.1%
189 1
< 0.1%

V495
Real number (ℝ)

SKEWED  ZEROS 

Distinct45
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1111820045
Minimum0
Maximum638
Zeros71145
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:34.530036image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum638
Range638
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.862178299
Coefficient of variation (CV)34.73744079
Kurtosis19410.41272
Mean0.1111820045
Median Absolute Deviation (MAD)0
Skewness130.857351
Sum8190
Variance14.91642121
MonotonicityNot monotonic
2024-03-09T21:15:34.781575image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 71145
96.6%
1 1654
 
2.2%
2 372
 
0.5%
3 170
 
0.2%
4 74
 
0.1%
5 58
 
0.1%
6 30
 
< 0.1%
10 24
 
< 0.1%
7 21
 
< 0.1%
8 20
 
< 0.1%
Other values (35) 95
 
0.1%
ValueCountFrequency (%)
0 71145
96.6%
1 1654
 
2.2%
2 372
 
0.5%
3 170
 
0.2%
4 74
 
0.1%
ValueCountFrequency (%)
638 1
< 0.1%
595 1
< 0.1%
376 1
< 0.1%
280 1
< 0.1%
152 1
< 0.1%

V496
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08009448434
Minimum0
Maximum598
Zeros71809
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:35.032982image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum598
Range598
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.85444513
Coefficient of variation (CV)35.63847316
Kurtosis27968.24495
Mean0.08009448434
Median Absolute Deviation (MAD)0
Skewness149.4251344
Sum5900
Variance8.147857003
MonotonicityNot monotonic
2024-03-09T21:15:35.284854image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 71809
97.5%
1 1220
 
1.7%
2 293
 
0.4%
3 96
 
0.1%
4 60
 
0.1%
5 44
 
0.1%
6 29
 
< 0.1%
7 16
 
< 0.1%
9 15
 
< 0.1%
8 13
 
< 0.1%
Other values (30) 68
 
0.1%
ValueCountFrequency (%)
0 71809
97.5%
1 1220
 
1.7%
2 293
 
0.4%
3 96
 
0.1%
4 60
 
0.1%
ValueCountFrequency (%)
598 1
< 0.1%
270 1
< 0.1%
194 1
< 0.1%
171 1
< 0.1%
169 1
< 0.1%

V497
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06821606505
Minimum0
Maximum683
Zeros72200
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:35.560366image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum683
Range683
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.10438572
Coefficient of variation (CV)45.50813239
Kurtosis33537.47547
Mean0.06821606505
Median Absolute Deviation (MAD)0
Skewness166.7533375
Sum5025
Variance9.637210696
MonotonicityNot monotonic
2024-03-09T21:15:35.796078image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 72200
98.0%
1 973
 
1.3%
2 226
 
0.3%
3 77
 
0.1%
4 41
 
0.1%
5 40
 
0.1%
6 25
 
< 0.1%
7 10
 
< 0.1%
10 10
 
< 0.1%
8 9
 
< 0.1%
Other values (28) 52
 
0.1%
ValueCountFrequency (%)
0 72200
98.0%
1 973
 
1.3%
2 226
 
0.3%
3 77
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
683 1
< 0.1%
300 1
< 0.1%
214 1
< 0.1%
166 1
< 0.1%
155 1
< 0.1%

V498
Real number (ℝ)

SKEWED  ZEROS 

Distinct37
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06520234039
Minimum0
Maximum781
Zeros72388
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:36.063007image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum781
Range781
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.409933776
Coefficient of variation (CV)52.29772053
Kurtosis39032.47749
Mean0.06520234039
Median Absolute Deviation (MAD)0
Skewness182.6847816
Sum4803
Variance11.62764836
MonotonicityNot monotonic
2024-03-09T21:15:36.355566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 72388
98.3%
1 844
 
1.1%
2 175
 
0.2%
3 80
 
0.1%
4 44
 
0.1%
5 23
 
< 0.1%
6 19
 
< 0.1%
8 15
 
< 0.1%
7 12
 
< 0.1%
10 9
 
< 0.1%
Other values (27) 54
 
0.1%
ValueCountFrequency (%)
0 72388
98.3%
1 844
 
1.1%
2 175
 
0.2%
3 80
 
0.1%
4 44
 
0.1%
ValueCountFrequency (%)
781 1
< 0.1%
347 1
< 0.1%
177 1
< 0.1%
153 1
< 0.1%
151 1
< 0.1%

V499
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7427473766
Minimum0
Maximum19708
Zeros69308
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:36.619414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19708
Range19708
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.18007254
Coefficient of variation (CV)99.87254735
Kurtosis67661.86953
Mean0.7427473766
Median Absolute Deviation (MAD)0
Skewness255.5974205
Sum54713
Variance5502.683162
MonotonicityNot monotonic
2024-03-09T21:15:36.902943image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69308
94.1%
1 1816
 
2.5%
2 728
 
1.0%
3 438
 
0.6%
4 269
 
0.4%
5 189
 
0.3%
6 114
 
0.2%
7 97
 
0.1%
8 92
 
0.1%
9 88
 
0.1%
Other values (93) 524
 
0.7%
ValueCountFrequency (%)
0 69308
94.1%
1 1816
 
2.5%
2 728
 
1.0%
3 438
 
0.6%
4 269
 
0.4%
ValueCountFrequency (%)
19708 1
< 0.1%
2844 1
< 0.1%
1534 1
< 0.1%
1101 1
< 0.1%
940 1
< 0.1%

V500
Real number (ℝ)

SKEWED  ZEROS 

Distinct584
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.51355497
Minimum0
Maximum25819
Zeros14487
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:37.185595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q326
95-th percentile111
Maximum25819
Range25819
Interquartile range (IQR)23

Descriptive statistics

Standard deviation122.2867143
Coefficient of variation (CV)4.444598831
Kurtosis27605.22884
Mean27.51355497
Median Absolute Deviation (MAD)10
Skewness138.3477444
Sum2026731
Variance14954.04049
MonotonicityNot monotonic
2024-03-09T21:15:38.216605image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14487
 
19.7%
5 2924
 
4.0%
6 2810
 
3.8%
7 2776
 
3.8%
8 2622
 
3.6%
4 2582
 
3.5%
9 2523
 
3.4%
3 2319
 
3.1%
10 2209
 
3.0%
11 1933
 
2.6%
Other values (574) 36478
49.5%
ValueCountFrequency (%)
0 14487
19.7%
1 1397
 
1.9%
2 1806
 
2.5%
3 2319
 
3.1%
4 2582
 
3.5%
ValueCountFrequency (%)
25819 1
< 0.1%
10313 1
< 0.1%
4880 1
< 0.1%
3190 1
< 0.1%
3032 1
< 0.1%

V501
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3969564096
Minimum0
Maximum679
Zeros70867
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:38.472277image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum679
Range679
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.693560157
Coefficient of variation (CV)14.34303621
Kurtosis5217.316242
Mean0.3969564096
Median Absolute Deviation (MAD)0
Skewness59.3486514
Sum29241
Variance32.41662727
MonotonicityNot monotonic
2024-03-09T21:15:38.725738image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70867
96.2%
1 682
 
0.9%
2 422
 
0.6%
3 261
 
0.4%
4 180
 
0.2%
5 151
 
0.2%
6 123
 
0.2%
7 106
 
0.1%
8 93
 
0.1%
10 77
 
0.1%
Other values (90) 701
 
1.0%
ValueCountFrequency (%)
0 70867
96.2%
1 682
 
0.9%
2 422
 
0.6%
3 261
 
0.4%
4 180
 
0.2%
ValueCountFrequency (%)
679 1
< 0.1%
471 1
< 0.1%
458 1
< 0.1%
424 1
< 0.1%
410 1
< 0.1%

V502
Real number (ℝ)

SKEWED  ZEROS 

Distinct210
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.414319265
Minimum0
Maximum1241
Zeros66921
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:39.008952image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1241
Range1241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.50465494
Coefficient of variation (CV)10.25557334
Kurtosis3181.618793
Mean1.414319265
Median Absolute Deviation (MAD)0
Skewness44.72613361
Sum104183
Variance210.385015
MonotonicityNot monotonic
2024-03-09T21:15:39.292033image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66921
90.8%
1 1802
 
2.4%
2 809
 
1.1%
3 543
 
0.7%
4 390
 
0.5%
5 359
 
0.5%
6 261
 
0.4%
7 239
 
0.3%
8 188
 
0.3%
10 175
 
0.2%
Other values (200) 1976
 
2.7%
ValueCountFrequency (%)
0 66921
90.8%
1 1802
 
2.4%
2 809
 
1.1%
3 543
 
0.7%
4 390
 
0.5%
ValueCountFrequency (%)
1241 1
< 0.1%
1200 1
< 0.1%
1157 1
< 0.1%
1087 1
< 0.1%
1067 1
< 0.1%

V503
Real number (ℝ)

SKEWED  ZEROS 

Distinct157
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7641421066
Minimum0
Maximum1278
Zeros65986
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:39.581386image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1278
Range1278
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.816221598
Coefficient of variation (CV)12.84606818
Kurtosis8103.297582
Mean0.7641421066
Median Absolute Deviation (MAD)0
Skewness72.80527788
Sum56289
Variance96.35820647
MonotonicityNot monotonic
2024-03-09T21:15:39.848876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65986
89.6%
1 3170
 
4.3%
2 1287
 
1.7%
3 679
 
0.9%
4 464
 
0.6%
5 360
 
0.5%
6 239
 
0.3%
7 182
 
0.2%
8 154
 
0.2%
9 138
 
0.2%
Other values (147) 1004
 
1.4%
ValueCountFrequency (%)
0 65986
89.6%
1 3170
 
4.3%
2 1287
 
1.7%
3 679
 
0.9%
4 464
 
0.6%
ValueCountFrequency (%)
1278 1
< 0.1%
1171 1
< 0.1%
981 1
< 0.1%
308 1
< 0.1%
283 1
< 0.1%

V504
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2549991176
Minimum0
Maximum1279
Zeros69472
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:40.116311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1279
Range1279
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.69012772
Coefficient of variation (CV)30.15746797
Kurtosis21168.14403
Mean0.2549991176
Median Absolute Deviation (MAD)0
Skewness139.4290406
Sum18784
Variance59.13806436
MonotonicityNot monotonic
2024-03-09T21:15:40.405730image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69472
94.3%
1 2205
 
3.0%
2 725
 
1.0%
3 354
 
0.5%
4 203
 
0.3%
5 134
 
0.2%
6 94
 
0.1%
7 65
 
0.1%
9 49
 
0.1%
8 49
 
0.1%
Other values (57) 313
 
0.4%
ValueCountFrequency (%)
0 69472
94.3%
1 2205
 
3.0%
2 725
 
1.0%
3 354
 
0.5%
4 203
 
0.3%
ValueCountFrequency (%)
1279 1
< 0.1%
1149 1
< 0.1%
1008 1
< 0.1%
246 1
< 0.1%
211 1
< 0.1%

V505
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1275538601
Minimum0
Maximum1117
Zeros71584
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:40.671385image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1117
Range1117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.593983697
Coefficient of variation (CV)51.69568126
Kurtosis22782.38175
Mean0.1275538601
Median Absolute Deviation (MAD)0
Skewness147.064623
Sum9396
Variance43.480621
MonotonicityNot monotonic
2024-03-09T21:15:40.922284image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 71584
97.2%
1 1166
 
1.6%
2 364
 
0.5%
3 164
 
0.2%
4 90
 
0.1%
5 70
 
0.1%
6 42
 
0.1%
9 34
 
< 0.1%
8 23
 
< 0.1%
7 20
 
< 0.1%
Other values (36) 106
 
0.1%
ValueCountFrequency (%)
0 71584
97.2%
1 1166
 
1.6%
2 364
 
0.5%
3 164
 
0.2%
4 90
 
0.1%
ValueCountFrequency (%)
1117 1
< 0.1%
1014 1
< 0.1%
863 1
< 0.1%
234 1
< 0.1%
224 1
< 0.1%

V506
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07742014308
Minimum0
Maximum991
Zeros72555
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:41.157902image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum991
Range991
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.986333654
Coefficient of variation (CV)77.3226891
Kurtosis23769.89718
Mean0.07742014308
Median Absolute Deviation (MAD)0
Skewness151.4055065
Sum5703
Variance35.83619061
MonotonicityNot monotonic
2024-03-09T21:15:41.415195image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 72555
98.5%
1 695
 
0.9%
2 170
 
0.2%
3 76
 
0.1%
4 45
 
0.1%
5 29
 
< 0.1%
6 17
 
< 0.1%
7 14
 
< 0.1%
9 12
 
< 0.1%
8 11
 
< 0.1%
Other values (18) 39
 
0.1%
ValueCountFrequency (%)
0 72555
98.5%
1 695
 
0.9%
2 170
 
0.2%
3 76
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
991 1
< 0.1%
983 1
< 0.1%
768 1
< 0.1%
210 1
< 0.1%
193 1
< 0.1%

V507
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06764590093
Minimum0
Maximum1058
Zeros72959
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:41.654363image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1058
Range1058
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.217374918
Coefficient of variation (CV)91.91059373
Kurtosis23400.28992
Mean0.06764590093
Median Absolute Deviation (MAD)0
Skewness150.0530675
Sum4983
Variance38.65575087
MonotonicityNot monotonic
2024-03-09T21:15:41.898788image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 72959
99.0%
1 447
 
0.6%
2 110
 
0.1%
3 49
 
0.1%
4 20
 
< 0.1%
5 12
 
< 0.1%
6 9
 
< 0.1%
9 9
 
< 0.1%
8 8
 
< 0.1%
10 7
 
< 0.1%
Other values (19) 33
 
< 0.1%
ValueCountFrequency (%)
0 72959
99.0%
1 447
 
0.6%
2 110
 
0.1%
3 49
 
0.1%
4 20
 
< 0.1%
ValueCountFrequency (%)
1058 1
< 0.1%
974 1
< 0.1%
803 1
< 0.1%
271 1
< 0.1%
221 1
< 0.1%

V508
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06187638299
Minimum0
Maximum1102
Zeros73157
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:42.126289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1102
Range1102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.357890249
Coefficient of variation (CV)102.7514852
Kurtosis23817.99307
Mean0.06187638299
Median Absolute Deviation (MAD)0
Skewness151.0827043
Sum4558
Variance40.42276842
MonotonicityNot monotonic
2024-03-09T21:15:42.348668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 73157
99.3%
1 302
 
0.4%
2 85
 
0.1%
3 40
 
0.1%
4 23
 
< 0.1%
5 13
 
< 0.1%
6 11
 
< 0.1%
9 4
 
< 0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
Other values (13) 20
 
< 0.1%
ValueCountFrequency (%)
0 73157
99.3%
1 302
 
0.4%
2 85
 
0.1%
3 40
 
0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
1102 1
< 0.1%
1003 1
< 0.1%
780 1
< 0.1%
296 1
< 0.1%
234 1
< 0.1%

V509
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05690780989
Minimum0
Maximum1215
Zeros73282
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:42.572021image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1215
Range1215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.432040669
Coefficient of variation (CV)113.025623
Kurtosis26235.26418
Mean0.05690780989
Median Absolute Deviation (MAD)0
Skewness157.9396368
Sum4192
Variance41.37114716
MonotonicityNot monotonic
2024-03-09T21:15:42.807731image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 73282
99.5%
1 238
 
0.3%
2 54
 
0.1%
3 31
 
< 0.1%
4 13
 
< 0.1%
5 11
 
< 0.1%
7 6
 
< 0.1%
10 5
 
< 0.1%
6 4
 
< 0.1%
8 4
 
< 0.1%
Other values (14) 15
 
< 0.1%
ValueCountFrequency (%)
0 73282
99.5%
1 238
 
0.3%
2 54
 
0.1%
3 31
 
< 0.1%
4 13
 
< 0.1%
ValueCountFrequency (%)
1215 1
< 0.1%
935 1
< 0.1%
775 1
< 0.1%
217 1
< 0.1%
212 1
< 0.1%

V510
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05928349375
Minimum0
Maximum1355
Zeros73337
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:43.043329image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1355
Range1355
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.997817985
Coefficient of variation (CV)118.0399053
Kurtosis27103.57848
Mean0.05928349375
Median Absolute Deviation (MAD)0
Skewness159.8806507
Sum4367
Variance48.96945656
MonotonicityNot monotonic
2024-03-09T21:15:43.278409image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 73337
99.6%
1 204
 
0.3%
2 55
 
0.1%
3 20
 
< 0.1%
5 8
 
< 0.1%
4 7
 
< 0.1%
10 6
 
< 0.1%
12 5
 
< 0.1%
6 3
 
< 0.1%
7 3
 
< 0.1%
Other values (11) 15
 
< 0.1%
ValueCountFrequency (%)
0 73337
99.6%
1 204
 
0.3%
2 55
 
0.1%
3 20
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
1355 1
< 0.1%
989 1
< 0.1%
821 1
< 0.1%
252 1
< 0.1%
227 1
< 0.1%

V511
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.081981456
Minimum0
Maximum29162
Zeros72756
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:43.538834image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29162
Range29162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation147.5422171
Coefficient of variation (CV)136.3629813
Kurtosis28346.14057
Mean1.081981456
Median Absolute Deviation (MAD)0
Skewness163.9026451
Sum79702
Variance21768.70582
MonotonicityNot monotonic
2024-03-09T21:15:43.806143image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72756
98.8%
1 357
 
0.5%
2 164
 
0.2%
3 94
 
0.1%
4 65
 
0.1%
5 44
 
0.1%
6 29
 
< 0.1%
7 17
 
< 0.1%
10 15
 
< 0.1%
8 15
 
< 0.1%
Other values (44) 107
 
0.1%
ValueCountFrequency (%)
0 72756
98.8%
1 357
 
0.5%
2 164
 
0.2%
3 94
 
0.1%
4 65
 
0.1%
ValueCountFrequency (%)
29162 1
< 0.1%
20042 1
< 0.1%
17984 1
< 0.1%
4603 1
< 0.1%
2570 1
< 0.1%

V512
Real number (ℝ)

SKEWED  ZEROS 

Distinct321
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.363085945
Minimum0
Maximum40236
Zeros61727
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:44.072913image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum40236
Range40236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation207.8532988
Coefficient of variation (CV)47.63905671
Kurtosis26907.41902
Mean4.363085945
Median Absolute Deviation (MAD)0
Skewness158.7597158
Sum321398
Variance43202.99382
MonotonicityNot monotonic
2024-03-09T21:15:44.342914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61727
83.8%
1 3547
 
4.8%
2 1349
 
1.8%
3 878
 
1.2%
4 657
 
0.9%
5 542
 
0.7%
6 444
 
0.6%
7 375
 
0.5%
8 316
 
0.4%
9 257
 
0.3%
Other values (311) 3571
 
4.8%
ValueCountFrequency (%)
0 61727
83.8%
1 3547
 
4.8%
2 1349
 
1.8%
3 878
 
1.2%
4 657
 
0.9%
ValueCountFrequency (%)
40236 1
< 0.1%
28807 1
< 0.1%
24983 1
< 0.1%
6408 1
< 0.1%
4815 1
< 0.1%

V513
Real number (ℝ)

ZEROS 

Distinct353
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.42360479
Minimum0
Maximum1758
Zeros27589
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:44.612492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile47
Maximum1758
Range1758
Interquartile range (IQR)9

Descriptive statistics

Standard deviation29.84155798
Coefficient of variation (CV)2.862882714
Kurtosis466.638984
Mean10.42360479
Median Absolute Deviation (MAD)3
Skewness15.24360247
Sum767834
Variance890.5185827
MonotonicityNot monotonic
2024-03-09T21:15:44.879592image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27589
37.5%
1 4462
 
6.1%
2 4330
 
5.9%
3 4023
 
5.5%
4 3619
 
4.9%
5 3154
 
4.3%
6 2666
 
3.6%
7 2224
 
3.0%
8 1833
 
2.5%
9 1583
 
2.1%
Other values (343) 18180
24.7%
ValueCountFrequency (%)
0 27589
37.5%
1 4462
 
6.1%
2 4330
 
5.9%
3 4023
 
5.5%
4 3619
 
4.9%
ValueCountFrequency (%)
1758 1
< 0.1%
1438 1
< 0.1%
1215 1
< 0.1%
900 1
< 0.1%
867 1
< 0.1%

V514
Real number (ℝ)

ZEROS 

Distinct673
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.82703664
Minimum0
Maximum3630
Zeros13052
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:45.146487image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q331
95-th percentile136
Maximum3630
Range3630
Interquartile range (IQR)27

Descriptive statistics

Standard deviation78.34046316
Coefficient of variation (CV)2.386461624
Kurtosis288.6004184
Mean32.82703664
Median Absolute Deviation (MAD)11
Skewness12.3875685
Sum2418138
Variance6137.228167
MonotonicityNot monotonic
2024-03-09T21:15:45.488833image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13052
 
17.7%
6 2566
 
3.5%
7 2526
 
3.4%
8 2455
 
3.3%
5 2411
 
3.3%
9 2317
 
3.1%
4 2235
 
3.0%
10 2174
 
3.0%
11 2038
 
2.8%
3 2005
 
2.7%
Other values (663) 39884
54.1%
ValueCountFrequency (%)
0 13052
17.7%
1 1140
 
1.5%
2 1551
 
2.1%
3 2005
 
2.7%
4 2235
 
3.0%
ValueCountFrequency (%)
3630 1
< 0.1%
2348 1
< 0.1%
2326 1
< 0.1%
2321 1
< 0.1%
2294 1
< 0.1%

V515
Real number (ℝ)

SKEWED  ZEROS 

Distinct336
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.387141441
Minimum0
Maximum3470
Zeros21378
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:45.823554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile32
Maximum3470
Range3470
Interquartile range (IQR)7

Descriptive statistics

Standard deviation31.86251628
Coefficient of variation (CV)3.798972094
Kurtosis3015.257749
Mean8.387141441
Median Absolute Deviation (MAD)2
Skewness39.2182417
Sum617822
Variance1015.219944
MonotonicityNot monotonic
2024-03-09T21:15:46.300927image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21378
29.0%
1 8762
11.9%
2 7499
 
10.2%
3 5677
 
7.7%
4 4354
 
5.9%
5 3371
 
4.6%
6 2606
 
3.5%
7 2253
 
3.1%
8 1796
 
2.4%
9 1495
 
2.0%
Other values (326) 14472
19.6%
ValueCountFrequency (%)
0 21378
29.0%
1 8762
11.9%
2 7499
 
10.2%
3 5677
 
7.7%
4 4354
 
5.9%
ValueCountFrequency (%)
3470 1
< 0.1%
2354 1
< 0.1%
1975 1
< 0.1%
1956 1
< 0.1%
1719 1
< 0.1%

V516
Real number (ℝ)

SKEWED  ZEROS 

Distinct161
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.363805438
Minimum0
Maximum2322
Zeros41159
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:46.633171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum2322
Range2322
Interquartile range (IQR)2

Descriptive statistics

Standard deviation20.04352645
Coefficient of variation (CV)8.479346958
Kurtosis8011.276429
Mean2.363805438
Median Absolute Deviation (MAD)0
Skewness81.82313525
Sum174125
Variance401.7429526
MonotonicityNot monotonic
2024-03-09T21:15:47.040846image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41159
55.9%
1 12325
 
16.7%
2 6405
 
8.7%
3 3584
 
4.9%
4 2249
 
3.1%
5 1476
 
2.0%
6 1070
 
1.5%
7 835
 
1.1%
8 598
 
0.8%
9 492
 
0.7%
Other values (151) 3470
 
4.7%
ValueCountFrequency (%)
0 41159
55.9%
1 12325
 
16.7%
2 6405
 
8.7%
3 3584
 
4.9%
4 2249
 
3.1%
ValueCountFrequency (%)
2322 1
< 0.1%
2102 1
< 0.1%
1982 1
< 0.1%
1817 1
< 0.1%
1762 1
< 0.1%

V517
Real number (ℝ)

SKEWED  ZEROS 

Distinct106
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8917231174
Minimum0
Maximum1870
Zeros58212
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:47.332639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1870
Range1870
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.08801901
Coefficient of variation (CV)16.92007162
Kurtosis9720.79605
Mean0.8917231174
Median Absolute Deviation (MAD)0
Skewness93.33969125
Sum65687
Variance227.6483178
MonotonicityNot monotonic
2024-03-09T21:15:47.617916image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58212
79.0%
1 8246
 
11.2%
2 2723
 
3.7%
3 1233
 
1.7%
4 721
 
1.0%
5 479
 
0.7%
6 312
 
0.4%
7 278
 
0.4%
8 187
 
0.3%
10 156
 
0.2%
Other values (96) 1116
 
1.5%
ValueCountFrequency (%)
0 58212
79.0%
1 8246
 
11.2%
2 2723
 
3.7%
3 1233
 
1.7%
4 721
 
1.0%
ValueCountFrequency (%)
1870 1
< 0.1%
1656 1
< 0.1%
1540 1
< 0.1%
1480 1
< 0.1%
1436 1
< 0.1%

V518
Real number (ℝ)

SKEWED  ZEROS 

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4524252338
Minimum0
Maximum1560
Zeros65917
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:47.976807image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1560
Range1560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.0183305
Coefficient of variation (CV)26.5642356
Kurtosis11816.22764
Mean0.4524252338
Median Absolute Deviation (MAD)0
Skewness103.3854536
Sum33327
Variance144.440268
MonotonicityNot monotonic
2024-03-09T21:15:48.339266image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65917
89.5%
1 4466
 
6.1%
2 1213
 
1.6%
3 544
 
0.7%
4 359
 
0.5%
5 258
 
0.4%
6 149
 
0.2%
7 115
 
0.2%
8 84
 
0.1%
9 67
 
0.1%
Other values (69) 491
 
0.7%
ValueCountFrequency (%)
0 65917
89.5%
1 4466
 
6.1%
2 1213
 
1.6%
3 544
 
0.7%
4 359
 
0.5%
ValueCountFrequency (%)
1560 1
< 0.1%
1557 1
< 0.1%
1249 1
< 0.1%
1236 1
< 0.1%
1070 1
< 0.1%

V519
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3221020051
Minimum0
Maximum1594
Zeros68835
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:48.608811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1594
Range1594
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.68639063
Coefficient of variation (CV)36.2816451
Kurtosis12371.197
Mean0.3221020051
Median Absolute Deviation (MAD)0
Skewness106.1629844
Sum23727
Variance136.5717261
MonotonicityNot monotonic
2024-03-09T21:15:48.922611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68835
93.4%
1 2800
 
3.8%
2 762
 
1.0%
3 363
 
0.5%
4 236
 
0.3%
5 142
 
0.2%
6 92
 
0.1%
7 63
 
0.1%
8 52
 
0.1%
10 43
 
0.1%
Other values (59) 275
 
0.4%
ValueCountFrequency (%)
0 68835
93.4%
1 2800
 
3.8%
2 762
 
1.0%
3 363
 
0.5%
4 236
 
0.3%
ValueCountFrequency (%)
1594 1
< 0.1%
1471 1
< 0.1%
1267 1
< 0.1%
1239 1
< 0.1%
867 1
< 0.1%

V520
Real number (ℝ)

SKEWED  ZEROS 

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2482929015
Minimum0
Maximum1691
Zeros70295
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:49.285789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1691
Range1691
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.25902491
Coefficient of variation (CV)45.34573823
Kurtosis14698.45074
Mean0.2482929015
Median Absolute Deviation (MAD)0
Skewness115.5436036
Sum18290
Variance126.765642
MonotonicityNot monotonic
2024-03-09T21:15:50.573092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70295
95.4%
1 1964
 
2.7%
2 563
 
0.8%
3 241
 
0.3%
4 144
 
0.2%
5 107
 
0.1%
6 71
 
0.1%
7 40
 
0.1%
9 24
 
< 0.1%
8 23
 
< 0.1%
Other values (52) 191
 
0.3%
ValueCountFrequency (%)
0 70295
95.4%
1 1964
 
2.7%
2 563
 
0.8%
3 241
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
1691 1
< 0.1%
1449 1
< 0.1%
1275 1
< 0.1%
1174 1
< 0.1%
580 1
< 0.1%

V521
Real number (ℝ)

SKEWED  ZEROS 

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2125354656
Minimum0
Maximum1813
Zeros71062
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:50.958414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1813
Range1813
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.39299635
Coefficient of variation (CV)53.60515393
Kurtosis16022.84375
Mean0.2125354656
Median Absolute Deviation (MAD)0
Skewness120.9195723
Sum15656
Variance129.8003658
MonotonicityNot monotonic
2024-03-09T21:15:51.389996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71062
96.5%
1 1547
 
2.1%
2 436
 
0.6%
3 187
 
0.3%
4 97
 
0.1%
5 80
 
0.1%
6 36
 
< 0.1%
9 31
 
< 0.1%
8 25
 
< 0.1%
7 24
 
< 0.1%
Other values (47) 138
 
0.2%
ValueCountFrequency (%)
0 71062
96.5%
1 1547
 
2.1%
2 436
 
0.6%
3 187
 
0.3%
4 97
 
0.1%
ValueCountFrequency (%)
1813 1
< 0.1%
1380 1
< 0.1%
1372 1
< 0.1%
1113 1
< 0.1%
746 1
< 0.1%

V522
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.205530592
Minimum0
Maximum1965
Zeros71460
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:51.807482image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1965
Range1965
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.13372623
Coefficient of variation (CV)59.03610799
Kurtosis16480.22649
Mean0.205530592
Median Absolute Deviation (MAD)0
Skewness122.9719506
Sum15140
Variance147.2273121
MonotonicityNot monotonic
2024-03-09T21:15:52.288897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71460
97.0%
1 1353
 
1.8%
2 321
 
0.4%
3 148
 
0.2%
4 86
 
0.1%
5 63
 
0.1%
6 35
 
< 0.1%
7 27
 
< 0.1%
8 21
 
< 0.1%
11 14
 
< 0.1%
Other values (48) 135
 
0.2%
ValueCountFrequency (%)
0 71460
97.0%
1 1353
 
1.8%
2 321
 
0.4%
3 148
 
0.2%
4 86
 
0.1%
ValueCountFrequency (%)
1965 1
< 0.1%
1481 1
< 0.1%
1406 1
< 0.1%
1188 1
< 0.1%
896 1
< 0.1%

V523
Real number (ℝ)

SKEWED  ZEROS 

Distinct154
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.900207703
Minimum0
Maximum45462
Zeros67522
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:52.829847image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum45462
Range45462
Interquartile range (IQR)0

Descriptive statistics

Standard deviation264.813378
Coefficient of variation (CV)91.30841827
Kurtosis21035.00305
Mean2.900207703
Median Absolute Deviation (MAD)0
Skewness141.5880024
Sum213638
Variance70126.12516
MonotonicityNot monotonic
2024-03-09T21:15:53.331735image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67522
91.7%
1 2266
 
3.1%
2 947
 
1.3%
3 584
 
0.8%
4 376
 
0.5%
5 270
 
0.4%
6 216
 
0.3%
7 194
 
0.3%
8 129
 
0.2%
9 106
 
0.1%
Other values (144) 1053
 
1.4%
ValueCountFrequency (%)
0 67522
91.7%
1 2266
 
3.1%
2 947
 
1.3%
3 584
 
0.8%
4 376
 
0.5%
ValueCountFrequency (%)
45462 1
< 0.1%
38112 1
< 0.1%
28759 1
< 0.1%
27306 1
< 0.1%
5024 1
< 0.1%

V524
Real number (ℝ)

SKEWED  ZEROS 

Distinct940
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.23440533
Minimum0
Maximum63477
Zeros9746
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:53.672079image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median22
Q355
95-th percentile219
Maximum63477
Range63477
Interquartile range (IQR)46

Descriptive statistics

Standard deviation398.5533479
Coefficient of variation (CV)6.728409708
Kurtosis15395.81086
Mean59.23440533
Median Absolute Deviation (MAD)17
Skewness114.4070746
Sum4363384
Variance158844.7711
MonotonicityNot monotonic
2024-03-09T21:15:54.089647image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9746
 
13.2%
12 1727
 
2.3%
13 1717
 
2.3%
10 1706
 
2.3%
11 1646
 
2.2%
14 1642
 
2.2%
8 1641
 
2.2%
15 1594
 
2.2%
9 1536
 
2.1%
16 1511
 
2.1%
Other values (930) 49197
66.8%
ValueCountFrequency (%)
0 9746
13.2%
1 268
 
0.4%
2 409
 
0.6%
3 589
 
0.8%
4 801
 
1.1%
ValueCountFrequency (%)
63477 1
< 0.1%
51221 1
< 0.1%
42445 1
< 0.1%
38551 1
< 0.1%
19548 1
< 0.1%

V525
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.513758603
Minimum0
Maximum417
Zeros38309
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:54.448482image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile16
Maximum417
Range417
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.63532042
Coefficient of variation (CV)3.026764677
Kurtosis366.8799506
Mean3.513758603
Median Absolute Deviation (MAD)0
Skewness14.10147397
Sum258834
Variance113.1100405
MonotonicityNot monotonic
2024-03-09T21:15:54.808469image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38309
52.0%
1 8044
 
10.9%
2 5946
 
8.1%
3 4157
 
5.6%
4 2980
 
4.0%
5 2164
 
2.9%
6 1729
 
2.3%
7 1279
 
1.7%
8 1007
 
1.4%
9 934
 
1.3%
Other values (164) 7114
 
9.7%
ValueCountFrequency (%)
0 38309
52.0%
1 8044
 
10.9%
2 5946
 
8.1%
3 4157
 
5.6%
4 2980
 
4.0%
ValueCountFrequency (%)
417 1
 
< 0.1%
406 1
 
< 0.1%
403 1
 
< 0.1%
396 1
 
< 0.1%
375 3
< 0.1%

V526
Real number (ℝ)

ZEROS 

Distinct323
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.48761251
Minimum0
Maximum1230
Zeros22971
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:55.113150image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q311
95-th percentile50
Maximum1230
Range1230
Interquartile range (IQR)11

Descriptive statistics

Standard deviation28.21852103
Coefficient of variation (CV)2.456430439
Kurtosis432.0512008
Mean11.48761251
Median Absolute Deviation (MAD)4
Skewness14.44089916
Sum846212
Variance796.2849291
MonotonicityNot monotonic
2024-03-09T21:15:55.405652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22971
31.2%
2 4553
 
6.2%
3 4384
 
6.0%
1 4091
 
5.6%
4 4028
 
5.5%
5 3423
 
4.6%
6 2910
 
4.0%
7 2478
 
3.4%
8 2127
 
2.9%
9 1785
 
2.4%
Other values (313) 20913
28.4%
ValueCountFrequency (%)
0 22971
31.2%
1 4091
 
5.6%
2 4553
 
6.2%
3 4384
 
6.0%
4 4028
 
5.5%
ValueCountFrequency (%)
1230 1
< 0.1%
1210 1
< 0.1%
1132 1
< 0.1%
1104 1
< 0.1%
1101 1
< 0.1%

V527
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.104597966
Minimum0
Maximum483
Zeros34857
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:55.702782image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum483
Range483
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.285210405
Coefficient of variation (CV)2.990793174
Kurtosis511.831454
Mean3.104597966
Median Absolute Deviation (MAD)1
Skewness15.79722251
Sum228694
Variance86.21513226
MonotonicityNot monotonic
2024-03-09T21:15:56.056406image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34857
47.3%
1 10748
 
14.6%
2 7165
 
9.7%
3 4818
 
6.5%
4 3125
 
4.2%
5 2417
 
3.3%
6 1699
 
2.3%
7 1323
 
1.8%
8 1095
 
1.5%
9 845
 
1.1%
Other values (153) 5571
 
7.6%
ValueCountFrequency (%)
0 34857
47.3%
1 10748
 
14.6%
2 7165
 
9.7%
3 4818
 
6.5%
4 3125
 
4.2%
ValueCountFrequency (%)
483 1
< 0.1%
467 1
< 0.1%
452 1
< 0.1%
445 1
< 0.1%
424 1
< 0.1%

V528
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7321857649
Minimum0
Maximum132
Zeros53610
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:56.505819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum132
Range132
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.673712965
Coefficient of variation (CV)3.651686625
Kurtosis418.4252347
Mean0.7321857649
Median Absolute Deviation (MAD)0
Skewness15.26014916
Sum53935
Variance7.148741017
MonotonicityNot monotonic
2024-03-09T21:15:56.834282image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53610
72.8%
1 10359
 
14.1%
2 4188
 
5.7%
3 2023
 
2.7%
4 1059
 
1.4%
5 671
 
0.9%
6 398
 
0.5%
7 274
 
0.4%
8 223
 
0.3%
9 144
 
0.2%
Other values (58) 714
 
1.0%
ValueCountFrequency (%)
0 53610
72.8%
1 10359
 
14.1%
2 4188
 
5.7%
3 2023
 
2.7%
4 1059
 
1.4%
ValueCountFrequency (%)
132 1
< 0.1%
121 1
< 0.1%
117 1
< 0.1%
104 2
< 0.1%
85 2
< 0.1%

V529
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1848417795
Minimum0
Maximum54
Zeros66086
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:57.133405image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9825470147
Coefficient of variation (CV)5.3156111
Kurtosis667.4303811
Mean0.1848417795
Median Absolute Deviation (MAD)0
Skewness19.59776143
Sum13616
Variance0.9653986361
MonotonicityNot monotonic
2024-03-09T21:15:57.601858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 66086
89.7%
1 5354
 
7.3%
2 1218
 
1.7%
3 410
 
0.6%
4 184
 
0.2%
5 121
 
0.2%
6 75
 
0.1%
7 44
 
0.1%
8 31
 
< 0.1%
9 23
 
< 0.1%
Other values (29) 117
 
0.2%
ValueCountFrequency (%)
0 66086
89.7%
1 5354
 
7.3%
2 1218
 
1.7%
3 410
 
0.6%
4 184
 
0.2%
ValueCountFrequency (%)
54 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%
41 1
< 0.1%

V530
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05909343904
Minimum0
Maximum27
Zeros70748
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:57.962883image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4265076824
Coefficient of variation (CV)7.217513304
Kurtosis721.4112723
Mean0.05909343904
Median Absolute Deviation (MAD)0
Skewness20.08842122
Sum4353
Variance0.1819088032
MonotonicityNot monotonic
2024-03-09T21:15:58.357572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 70748
96.0%
1 2317
 
3.1%
2 325
 
0.4%
3 112
 
0.2%
4 52
 
0.1%
5 37
 
0.1%
6 21
 
< 0.1%
7 13
 
< 0.1%
8 13
 
< 0.1%
11 4
 
< 0.1%
Other values (10) 21
 
< 0.1%
ValueCountFrequency (%)
0 70748
96.0%
1 2317
 
3.1%
2 325
 
0.4%
3 112
 
0.2%
4 52
 
0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
24 1
 
< 0.1%
18 2
< 0.1%
17 3
< 0.1%
15 1
 
< 0.1%

V531
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02539945427
Minimum0
Maximum45
Zeros72349
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:58.657452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3096617285
Coefficient of variation (CV)12.19166858
Kurtosis8636.671836
Mean0.02539945427
Median Absolute Deviation (MAD)0
Skewness69.46851312
Sum1871
Variance0.0958903861
MonotonicityNot monotonic
2024-03-09T21:15:59.064878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 72349
98.2%
1 1057
 
1.4%
2 160
 
0.2%
3 47
 
0.1%
5 15
 
< 0.1%
4 14
 
< 0.1%
8 6
 
< 0.1%
7 5
 
< 0.1%
6 5
 
< 0.1%
9 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 72349
98.2%
1 1057
 
1.4%
2 160
 
0.2%
3 47
 
0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
36 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
8 6
< 0.1%

V532
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01391471974
Minimum0
Maximum28
Zeros72889
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:59.409459image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1868856597
Coefficient of variation (CV)13.43078863
Kurtosis7070.697635
Mean0.01391471974
Median Absolute Deviation (MAD)0
Skewness56.3928975
Sum1025
Variance0.03492624979
MonotonicityNot monotonic
2024-03-09T21:15:59.611154image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 72889
98.9%
1 645
 
0.9%
2 82
 
0.1%
3 18
 
< 0.1%
4 14
 
< 0.1%
5 9
 
< 0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
0 72889
98.9%
1 645
 
0.9%
2 82
 
0.1%
3 18
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
28 1
 
< 0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
5 9
< 0.1%
4 14
< 0.1%

V533
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01014077624
Minimum0
Maximum46
Zeros73140
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:15:59.846978image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2339996626
Coefficient of variation (CV)23.07512335
Kurtosis22176.7021
Mean0.01014077624
Median Absolute Deviation (MAD)0
Skewness124.8324992
Sum747
Variance0.05475584209
MonotonicityNot monotonic
2024-03-09T21:16:00.082659image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73140
99.3%
1 430
 
0.6%
2 62
 
0.1%
3 15
 
< 0.1%
4 6
 
< 0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
46 1
 
< 0.1%
25 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73140
99.3%
1 430
 
0.6%
2 62
 
0.1%
3 15
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
46 1
 
< 0.1%
25 1
 
< 0.1%
12 1
 
< 0.1%
8 1
 
< 0.1%
6 3
< 0.1%

V534
Real number (ℝ)

SKEWED  ZEROS 

Distinct47
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09479657359
Minimum0
Maximum392
Zeros71620
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:00.318713image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum392
Range392
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.077511054
Coefficient of variation (CV)21.91546567
Kurtosis19086.30413
Mean0.09479657359
Median Absolute Deviation (MAD)0
Skewness116.2528797
Sum6983
Variance4.316052178
MonotonicityNot monotonic
2024-03-09T21:16:00.655758image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 71620
97.2%
1 1186
 
1.6%
2 351
 
0.5%
3 158
 
0.2%
4 79
 
0.1%
5 45
 
0.1%
6 38
 
0.1%
7 24
 
< 0.1%
11 19
 
< 0.1%
8 19
 
< 0.1%
Other values (37) 124
 
0.2%
ValueCountFrequency (%)
0 71620
97.2%
1 1186
 
1.6%
2 351
 
0.5%
3 158
 
0.2%
4 79
 
0.1%
ValueCountFrequency (%)
392 1
< 0.1%
211 1
< 0.1%
120 1
< 0.1%
107 1
< 0.1%
105 1
< 0.1%

V535
Real number (ℝ)

ZEROS 

Distinct438
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.22634158
Minimum0
Maximum2255
Zeros19541
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:00.957761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q320
95-th percentile80
Maximum2255
Range2255
Interquartile range (IQR)20

Descriptive statistics

Standard deviation45.97738282
Coefficient of variation (CV)2.391374491
Kurtosis591.9997241
Mean19.22634158
Median Absolute Deviation (MAD)7
Skewness16.96821428
Sum1416270
Variance2113.919731
MonotonicityNot monotonic
2024-03-09T21:16:01.239035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19541
26.5%
5 3021
 
4.1%
4 3002
 
4.1%
6 2916
 
4.0%
3 2757
 
3.7%
7 2688
 
3.6%
8 2373
 
3.2%
2 2330
 
3.2%
9 2263
 
3.1%
10 2017
 
2.7%
Other values (428) 30755
41.8%
ValueCountFrequency (%)
0 19541
26.5%
1 1816
 
2.5%
2 2330
 
3.2%
3 2757
 
3.7%
4 3002
 
4.1%
ValueCountFrequency (%)
2255 1
< 0.1%
2254 1
< 0.1%
2159 1
< 0.1%
2092 1
< 0.1%
2012 1
< 0.1%

V536
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2212236808
Minimum0
Maximum215
Zeros71465
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:01.525217image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum215
Range215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.795873052
Coefficient of variation (CV)12.63821776
Kurtosis2101.866899
Mean0.2212236808
Median Absolute Deviation (MAD)0
Skewness37.14248718
Sum16296
Variance7.816906124
MonotonicityNot monotonic
2024-03-09T21:16:01.791695image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71465
97.0%
1 605
 
0.8%
2 349
 
0.5%
3 237
 
0.3%
4 172
 
0.2%
5 114
 
0.2%
6 89
 
0.1%
7 72
 
0.1%
8 60
 
0.1%
10 58
 
0.1%
Other values (66) 442
 
0.6%
ValueCountFrequency (%)
0 71465
97.0%
1 605
 
0.8%
2 349
 
0.5%
3 237
 
0.3%
4 172
 
0.2%
ValueCountFrequency (%)
215 1
< 0.1%
199 1
< 0.1%
195 1
< 0.1%
191 1
< 0.1%
189 1
< 0.1%

V537
Real number (ℝ)

SKEWED  ZEROS 

Distinct150
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8517709026
Minimum0
Maximum627
Zeros68364
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:02.059129image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum627
Range627
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.066416161
Coefficient of variation (CV)9.47017107
Kurtosis1914.236595
Mean0.8517709026
Median Absolute Deviation (MAD)0
Skewness32.84740145
Sum62744
Variance65.06706968
MonotonicityNot monotonic
2024-03-09T21:16:02.338853image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68364
92.8%
1 1604
 
2.2%
2 651
 
0.9%
3 446
 
0.6%
4 292
 
0.4%
5 265
 
0.4%
6 206
 
0.3%
7 167
 
0.2%
8 145
 
0.2%
9 110
 
0.1%
Other values (140) 1413
 
1.9%
ValueCountFrequency (%)
0 68364
92.8%
1 1604
 
2.2%
2 651
 
0.9%
3 446
 
0.6%
4 292
 
0.4%
ValueCountFrequency (%)
627 1
< 0.1%
608 1
< 0.1%
559 1
< 0.1%
556 1
< 0.1%
514 1
< 0.1%

V538
Real number (ℝ)

SKEWED  ZEROS 

Distinct129
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5474525881
Minimum0
Maximum640
Zeros67247
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:02.539194image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum640
Range640
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.967520763
Coefficient of variation (CV)10.90052526
Kurtosis2869.529745
Mean0.5474525881
Median Absolute Deviation (MAD)0
Skewness40.25189767
Sum40327
Variance35.61130406
MonotonicityNot monotonic
2024-03-09T21:16:02.843207image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67247
91.3%
1 2902
 
3.9%
2 1095
 
1.5%
3 605
 
0.8%
4 383
 
0.5%
5 212
 
0.3%
6 172
 
0.2%
7 122
 
0.2%
8 121
 
0.2%
9 88
 
0.1%
Other values (119) 716
 
1.0%
ValueCountFrequency (%)
0 67247
91.3%
1 2902
 
3.9%
2 1095
 
1.5%
3 605
 
0.8%
4 383
 
0.5%
ValueCountFrequency (%)
640 1
< 0.1%
471 1
< 0.1%
305 1
< 0.1%
297 1
< 0.1%
272 1
< 0.1%

V539
Real number (ℝ)

SKEWED  ZEROS 

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1671666916
Minimum0
Maximum750
Zeros70172
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:03.290279image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum750
Range750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.861201166
Coefficient of variation (CV)23.09790982
Kurtosis27099.90909
Mean0.1671666916
Median Absolute Deviation (MAD)0
Skewness151.7238515
Sum12314
Variance14.90887444
MonotonicityNot monotonic
2024-03-09T21:16:03.580446image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70172
95.3%
1 1993
 
2.7%
2 590
 
0.8%
3 268
 
0.4%
4 148
 
0.2%
5 104
 
0.1%
6 72
 
0.1%
7 37
 
0.1%
8 32
 
< 0.1%
10 25
 
< 0.1%
Other values (46) 222
 
0.3%
ValueCountFrequency (%)
0 70172
95.3%
1 1993
 
2.7%
2 590
 
0.8%
3 268
 
0.4%
4 148
 
0.2%
ValueCountFrequency (%)
750 1
< 0.1%
597 1
< 0.1%
127 1
< 0.1%
95 1
< 0.1%
88 1
< 0.1%

V540
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05510229016
Minimum0
Maximum574
Zeros72210
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:03.832204image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum574
Range574
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.823857361
Coefficient of variation (CV)51.24754984
Kurtosis35570.44201
Mean0.05510229016
Median Absolute Deviation (MAD)0
Skewness185.4698149
Sum4059
Variance7.974170397
MonotonicityNot monotonic
2024-03-09T21:16:04.052033image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 72210
98.0%
1 943
 
1.3%
2 231
 
0.3%
3 106
 
0.1%
4 58
 
0.1%
6 26
 
< 0.1%
5 26
 
< 0.1%
7 14
 
< 0.1%
8 11
 
< 0.1%
9 8
 
< 0.1%
Other values (17) 30
 
< 0.1%
ValueCountFrequency (%)
0 72210
98.0%
1 943
 
1.3%
2 231
 
0.3%
3 106
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
574 1
< 0.1%
491 1
< 0.1%
28 2
< 0.1%
26 2
< 0.1%
25 1
< 0.1%

V541
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02367538656
Minimum0
Maximum404
Zeros73014
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:04.287642image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum404
Range404
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.944041879
Coefficient of variation (CV)82.11236061
Kurtosis37281.16955
Mean0.02367538656
Median Absolute Deviation (MAD)0
Skewness191.3082429
Sum1744
Variance3.779298826
MonotonicityNot monotonic
2024-03-09T21:16:04.659595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 73014
99.1%
1 486
 
0.7%
2 95
 
0.1%
3 28
 
< 0.1%
4 12
 
< 0.1%
6 7
 
< 0.1%
5 6
 
< 0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
10 2
 
< 0.1%
Other values (7) 7
 
< 0.1%
ValueCountFrequency (%)
0 73014
99.1%
1 486
 
0.7%
2 95
 
0.1%
3 28
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
404 1
< 0.1%
335 1
< 0.1%
15 1
< 0.1%
13 1
< 0.1%
12 1
< 0.1%

V542
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01322237758
Minimum0
Maximum354
Zeros73385
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:05.023458image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum354
Range354
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.631883467
Coefficient of variation (CV)123.4183079
Kurtosis39495.76561
Mean0.01322237758
Median Absolute Deviation (MAD)0
Skewness196.6997559
Sum974
Variance2.663043651
MonotonicityNot monotonic
2024-03-09T21:16:05.231222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73385
99.6%
1 230
 
0.3%
2 30
 
< 0.1%
3 8
 
< 0.1%
6 3
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
265 1
 
< 0.1%
354 1
 
< 0.1%
ValueCountFrequency (%)
0 73385
99.6%
1 230
 
0.3%
2 30
 
< 0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
354 1
 
< 0.1%
265 1
 
< 0.1%
6 3
< 0.1%
5 3
< 0.1%
4 2
< 0.1%

V543
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01018150225
Minimum0
Maximum320
Zeros73505
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:05.424425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum320
Range320
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.495008864
Coefficient of variation (CV)146.8357839
Kurtosis38937.36323
Mean0.01018150225
Median Absolute Deviation (MAD)0
Skewness195.8388306
Sum750
Variance2.235051504
MonotonicityNot monotonic
2024-03-09T21:16:05.624932image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 73505
99.8%
1 137
 
0.2%
2 14
 
< 0.1%
3 4
 
< 0.1%
249 1
 
< 0.1%
320 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 73505
99.8%
1 137
 
0.2%
2 14
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
320 1
 
< 0.1%
249 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 14
< 0.1%

V544
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009136201349
Minimum0
Maximum278
Zeros73557
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:05.858222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum278
Range278
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433941094
Coefficient of variation (CV)156.9515644
Kurtosis36748.90173
Mean0.009136201349
Median Absolute Deviation (MAD)0
Skewness191.5668759
Sum673
Variance2.056187062
MonotonicityNot monotonic
2024-03-09T21:16:06.125170image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73557
99.9%
1 94
 
0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
272 1
 
< 0.1%
278 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73557
99.9%
1 94
 
0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
278 1
< 0.1%
272 1
< 0.1%
7 1
< 0.1%
4 1
< 0.1%
3 2
< 0.1%

V545
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.244559684
Minimum0
Maximum9055
Zeros73394
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:06.384477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9055
Range9055
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.79690206
Coefficient of variation (CV)187.2626809
Kurtosis36967.142
Mean0.244559684
Median Absolute Deviation (MAD)0
Skewness192.1799289
Sum18015
Variance2097.356239
MonotonicityNot monotonic
2024-03-09T21:16:07.627570image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73394
99.6%
1 198
 
0.3%
2 39
 
0.1%
3 11
 
< 0.1%
7 6
 
< 0.1%
4 4
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
17 1
 
< 0.1%
8515 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
ValueCountFrequency (%)
0 73394
99.6%
1 198
 
0.3%
2 39
 
0.1%
3 11
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
9055 1
< 0.1%
8515 1
< 0.1%
17 1
< 0.1%
12 1
< 0.1%
10 1
< 0.1%

V546
Real number (ℝ)

SKEWED  ZEROS 

Distinct249
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.143491305
Minimum0
Maximum12555
Zeros63877
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:08.028514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum12555
Range12555
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64.2483436
Coefficient of variation (CV)29.97368986
Kurtosis32674.45894
Mean2.143491305
Median Absolute Deviation (MAD)0
Skewness175.202669
Sum157896
Variance4127.849655
MonotonicityNot monotonic
2024-03-09T21:16:08.384628image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63877
86.7%
1 3185
 
4.3%
2 1395
 
1.9%
3 793
 
1.1%
4 579
 
0.8%
5 455
 
0.6%
6 374
 
0.5%
7 246
 
0.3%
8 229
 
0.3%
10 175
 
0.2%
Other values (239) 2355
 
3.2%
ValueCountFrequency (%)
0 63877
86.7%
1 3185
 
4.3%
2 1395
 
1.9%
3 793
 
1.1%
4 579
 
0.8%
ValueCountFrequency (%)
12555 1
< 0.1%
11279 1
< 0.1%
1231 1
< 0.1%
1216 1
< 0.1%
1197 1
< 0.1%

V547
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.642004806
Minimum0
Maximum471
Zeros36804
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:08.638992image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile22
Maximum471
Range471
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.71478514
Coefficient of variation (CV)2.95449611
Kurtosis269.8231495
Mean4.642004806
Median Absolute Deviation (MAD)1
Skewness12.17427513
Sum341944
Variance188.0953315
MonotonicityNot monotonic
2024-03-09T21:16:08.957274image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36804
50.0%
1 7047
 
9.6%
2 5592
 
7.6%
3 4347
 
5.9%
4 3215
 
4.4%
5 2311
 
3.1%
6 1747
 
2.4%
7 1351
 
1.8%
8 1170
 
1.6%
9 918
 
1.2%
Other values (197) 9161
 
12.4%
ValueCountFrequency (%)
0 36804
50.0%
1 7047
 
9.6%
2 5592
 
7.6%
3 4347
 
5.9%
4 3215
 
4.4%
ValueCountFrequency (%)
471 1
< 0.1%
463 1
< 0.1%
456 1
< 0.1%
453 1
< 0.1%
447 1
< 0.1%

V548
Real number (ℝ)

ZEROS 

Distinct382
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.40792528
Minimum0
Maximum1445
Zeros22771
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:09.244699image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q313
95-th percentile65
Maximum1445
Range1445
Interquartile range (IQR)13

Descriptive statistics

Standard deviation35.92253454
Coefficient of variation (CV)2.493248253
Kurtosis277.9768193
Mean14.40792528
Median Absolute Deviation (MAD)4
Skewness11.71842631
Sum1061331
Variance1290.428488
MonotonicityNot monotonic
2024-03-09T21:16:09.547559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22771
30.9%
3 3942
 
5.4%
2 3904
 
5.3%
4 3817
 
5.2%
5 3460
 
4.7%
1 3336
 
4.5%
6 2933
 
4.0%
7 2547
 
3.5%
8 2129
 
2.9%
9 1830
 
2.5%
Other values (372) 22994
31.2%
ValueCountFrequency (%)
0 22771
30.9%
1 3336
 
4.5%
2 3904
 
5.3%
3 3942
 
5.4%
4 3817
 
5.2%
ValueCountFrequency (%)
1445 1
< 0.1%
1240 1
< 0.1%
1196 1
< 0.1%
1186 1
< 0.1%
1183 1
< 0.1%

V549
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.856006408
Minimum0
Maximum611
Zeros37529
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:09.843811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum611
Range611
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.872720212
Coefficient of variation (CV)3.456827053
Kurtosis490.2035773
Mean2.856006408
Median Absolute Deviation (MAD)0
Skewness15.76651865
Sum210382
Variance97.47060438
MonotonicityNot monotonic
2024-03-09T21:16:10.138416image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37529
50.9%
1 11318
 
15.4%
2 6960
 
9.4%
3 4308
 
5.8%
4 2792
 
3.8%
5 1944
 
2.6%
6 1456
 
2.0%
7 1084
 
1.5%
8 922
 
1.3%
9 671
 
0.9%
Other values (164) 4679
 
6.4%
ValueCountFrequency (%)
0 37529
50.9%
1 11318
 
15.4%
2 6960
 
9.4%
3 4308
 
5.8%
4 2792
 
3.8%
ValueCountFrequency (%)
611 1
< 0.1%
429 1
< 0.1%
386 1
< 0.1%
377 1
< 0.1%
357 1
< 0.1%

V550
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.558950898
Minimum0
Maximum116
Zeros56912
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:10.438874image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum116
Range116
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.312073472
Coefficient of variation (CV)4.136451843
Kurtosis521.4684395
Mean0.558950898
Median Absolute Deviation (MAD)0
Skewness17.34347225
Sum41174
Variance5.345683741
MonotonicityNot monotonic
2024-03-09T21:16:10.739190image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56912
77.3%
1 9651
 
13.1%
2 3316
 
4.5%
3 1408
 
1.9%
4 699
 
0.9%
5 443
 
0.6%
6 246
 
0.3%
7 177
 
0.2%
8 149
 
0.2%
9 119
 
0.2%
Other values (55) 543
 
0.7%
ValueCountFrequency (%)
0 56912
77.3%
1 9651
 
13.1%
2 3316
 
4.5%
3 1408
 
1.9%
4 699
 
0.9%
ValueCountFrequency (%)
116 2
< 0.1%
96 1
< 0.1%
93 1
< 0.1%
92 1
< 0.1%
87 1
< 0.1%

V551
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.140504731
Minimum0
Maximum130
Zeros67494
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:11.022342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum130
Range130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9038498988
Coefficient of variation (CV)6.432878753
Kurtosis6353.256498
Mean0.140504731
Median Absolute Deviation (MAD)0
Skewness54.05024963
Sum10350
Variance0.8169446395
MonotonicityNot monotonic
2024-03-09T21:16:11.377377image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 67494
91.6%
1 4535
 
6.2%
2 933
 
1.3%
3 295
 
0.4%
4 139
 
0.2%
5 74
 
0.1%
6 41
 
0.1%
7 37
 
0.1%
8 27
 
< 0.1%
12 13
 
< 0.1%
Other values (19) 75
 
0.1%
ValueCountFrequency (%)
0 67494
91.6%
1 4535
 
6.2%
2 933
 
1.3%
3 295
 
0.4%
4 139
 
0.2%
ValueCountFrequency (%)
130 1
< 0.1%
64 1
< 0.1%
44 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%

V552
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05286235966
Minimum0
Maximum59
Zeros71130
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:11.683757image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.491437282
Coefficient of variation (CV)9.296544556
Kurtosis4484.333441
Mean0.05286235966
Median Absolute Deviation (MAD)0
Skewness49.52421578
Sum3894
Variance0.2415106021
MonotonicityNot monotonic
2024-03-09T21:16:11.959342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 71130
96.6%
1 1981
 
2.7%
2 309
 
0.4%
3 110
 
0.1%
4 45
 
0.1%
5 32
 
< 0.1%
6 16
 
< 0.1%
8 11
 
< 0.1%
7 9
 
< 0.1%
10 4
 
< 0.1%
Other values (11) 16
 
< 0.1%
ValueCountFrequency (%)
0 71130
96.6%
1 1981
 
2.7%
2 309
 
0.4%
3 110
 
0.1%
4 45
 
0.1%
ValueCountFrequency (%)
59 1
< 0.1%
46 1
< 0.1%
34 1
< 0.1%
26 1
< 0.1%
21 1
< 0.1%

V553
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02602391974
Minimum0
Maximum37
Zeros72329
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:12.224501image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3192380863
Coefficient of variation (CV)12.26710232
Kurtosis4842.915025
Mean0.02602391974
Median Absolute Deviation (MAD)0
Skewness53.64493576
Sum1917
Variance0.1019129557
MonotonicityNot monotonic
2024-03-09T21:16:12.508425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 72329
98.2%
1 1102
 
1.5%
2 130
 
0.2%
3 42
 
0.1%
4 29
 
< 0.1%
5 11
 
< 0.1%
8 5
 
< 0.1%
10 3
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
Other values (7) 8
 
< 0.1%
ValueCountFrequency (%)
0 72329
98.2%
1 1102
 
1.5%
2 130
 
0.2%
3 42
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
37 1
< 0.1%
32 1
< 0.1%
27 1
< 0.1%
17 1
< 0.1%
14 2
< 0.1%

V554
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01667051301
Minimum0
Maximum34
Zeros72784
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:12.757805image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2280679628
Coefficient of variation (CV)13.68092048
Kurtosis7177.534971
Mean0.01667051301
Median Absolute Deviation (MAD)0
Skewness59.16519477
Sum1228
Variance0.05201499566
MonotonicityNot monotonic
2024-03-09T21:16:13.039168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 72784
98.8%
1 732
 
1.0%
2 76
 
0.1%
3 31
 
< 0.1%
4 14
 
< 0.1%
5 13
 
< 0.1%
6 4
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
11 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 72784
98.8%
1 732
 
1.0%
2 76
 
0.1%
3 31
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 3
< 0.1%

V555
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01379254171
Minimum0
Maximum35
Zeros72942
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:13.291474image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2169160551
Coefficient of variation (CV)15.7270545
Kurtosis9641.708804
Mean0.01379254171
Median Absolute Deviation (MAD)0
Skewness70.84043928
Sum1016
Variance0.04705257497
MonotonicityNot monotonic
2024-03-09T21:16:13.558327image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 72942
99.0%
1 599
 
0.8%
2 67
 
0.1%
3 26
 
< 0.1%
4 9
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
10 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 72942
99.0%
1 599
 
0.8%
2 67
 
0.1%
3 26
 
< 0.1%
4 9
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
11 1
 
< 0.1%
10 2
< 0.1%
9 1
 
< 0.1%
8 3
< 0.1%

V556
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1326174606
Minimum0
Maximum577
Zeros70806
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:13.873680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum577
Range577
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.554601689
Coefficient of variation (CV)19.26293625
Kurtosis35472.07527
Mean0.1326174606
Median Absolute Deviation (MAD)0
Skewness162.2036852
Sum9769
Variance6.525989792
MonotonicityNot monotonic
2024-03-09T21:16:14.205969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70806
96.1%
1 1559
 
2.1%
2 495
 
0.7%
3 237
 
0.3%
4 142
 
0.2%
5 82
 
0.1%
6 63
 
0.1%
7 48
 
0.1%
8 36
 
< 0.1%
9 27
 
< 0.1%
Other values (42) 168
 
0.2%
ValueCountFrequency (%)
0 70806
96.1%
1 1559
 
2.1%
2 495
 
0.7%
3 237
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
577 1
< 0.1%
125 1
< 0.1%
86 1
< 0.1%
79 1
< 0.1%
73 1
< 0.1%

V557
Real number (ℝ)

ZEROS 

Distinct513
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.84735892
Minimum0
Maximum2411
Zeros19727
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:14.707632image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q322
95-th percentile100
Maximum2411
Range2411
Interquartile range (IQR)22

Descriptive statistics

Standard deviation55.12500175
Coefficient of variation (CV)2.412751599
Kurtosis368.3789439
Mean22.84735892
Median Absolute Deviation (MAD)8
Skewness13.42833519
Sum1683005
Variance3038.765818
MonotonicityNot monotonic
2024-03-09T21:16:15.147356image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19727
26.8%
5 2958
 
4.0%
6 2732
 
3.7%
7 2725
 
3.7%
4 2696
 
3.7%
8 2451
 
3.3%
3 2372
 
3.2%
9 2241
 
3.0%
10 2009
 
2.7%
2 1834
 
2.5%
Other values (503) 31918
43.3%
ValueCountFrequency (%)
0 19727
26.8%
1 1383
 
1.9%
2 1834
 
2.5%
3 2372
 
3.2%
4 2696
 
3.7%
ValueCountFrequency (%)
2411 1
< 0.1%
2126 1
< 0.1%
2096 1
< 0.1%
2089 1
< 0.1%
2079 1
< 0.1%

V558
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3071148338
Minimum0
Maximum220
Zeros71250
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:15.755798image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum220
Range220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.271703225
Coefficient of variation (CV)10.65302898
Kurtosis836.2539823
Mean0.3071148338
Median Absolute Deviation (MAD)0
Skewness23.02542739
Sum22623
Variance10.70404199
MonotonicityNot monotonic
2024-03-09T21:16:16.342376image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71250
96.7%
1 602
 
0.8%
2 361
 
0.5%
3 224
 
0.3%
4 139
 
0.2%
5 123
 
0.2%
6 97
 
0.1%
7 96
 
0.1%
10 74
 
0.1%
8 73
 
0.1%
Other values (76) 624
 
0.8%
ValueCountFrequency (%)
0 71250
96.7%
1 602
 
0.8%
2 361
 
0.5%
3 224
 
0.3%
4 139
 
0.2%
ValueCountFrequency (%)
220 1
< 0.1%
180 1
< 0.1%
138 2
< 0.1%
137 1
< 0.1%
134 1
< 0.1%

V559
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.086705673
Minimum0
Maximum504
Zeros68558
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:16.809698image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum504
Range504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.488972929
Coefficient of variation (CV)8.731870242
Kurtosis498.8409185
Mean1.086705673
Median Absolute Deviation (MAD)0
Skewness18.16954968
Sum80050
Variance90.04060724
MonotonicityNot monotonic
2024-03-09T21:16:17.215434image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68558
93.1%
1 1234
 
1.7%
2 608
 
0.8%
3 431
 
0.6%
4 332
 
0.5%
5 245
 
0.3%
6 177
 
0.2%
7 152
 
0.2%
8 151
 
0.2%
9 142
 
0.2%
Other values (179) 1633
 
2.2%
ValueCountFrequency (%)
0 68558
93.1%
1 1234
 
1.7%
2 608
 
0.8%
3 431
 
0.6%
4 332
 
0.5%
ValueCountFrequency (%)
504 1
< 0.1%
468 1
< 0.1%
409 1
< 0.1%
352 1
< 0.1%
347 1
< 0.1%

V560
Real number (ℝ)

SKEWED  ZEROS 

Distinct131
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5173289168
Minimum0
Maximum852
Zeros68227
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:17.676957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum852
Range852
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.37392868
Coefficient of variation (CV)12.32084361
Kurtosis5745.584437
Mean0.5173289168
Median Absolute Deviation (MAD)0
Skewness54.9277967
Sum38108
Variance40.62696682
MonotonicityNot monotonic
2024-03-09T21:16:18.321372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68227
92.6%
1 2476
 
3.4%
2 914
 
1.2%
3 454
 
0.6%
4 276
 
0.4%
5 199
 
0.3%
6 149
 
0.2%
7 125
 
0.2%
8 88
 
0.1%
9 70
 
0.1%
Other values (121) 685
 
0.9%
ValueCountFrequency (%)
0 68227
92.6%
1 2476
 
3.4%
2 914
 
1.2%
3 454
 
0.6%
4 276
 
0.4%
ValueCountFrequency (%)
852 1
< 0.1%
623 1
< 0.1%
172 1
< 0.1%
170 1
< 0.1%
166 1
< 0.1%

V561
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1377896637
Minimum0
Maximum1023
Zeros70859
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:18.757769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1023
Range1023
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.833082322
Coefficient of variation (CV)35.07579735
Kurtosis35275.94816
Mean0.1377896637
Median Absolute Deviation (MAD)0
Skewness180.6544464
Sum10150
Variance23.35868473
MonotonicityNot monotonic
2024-03-09T21:16:19.105644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 70859
96.2%
1 1642
 
2.2%
2 470
 
0.6%
3 192
 
0.3%
4 109
 
0.1%
5 78
 
0.1%
6 43
 
0.1%
9 32
 
< 0.1%
8 29
 
< 0.1%
7 29
 
< 0.1%
Other values (39) 180
 
0.2%
ValueCountFrequency (%)
0 70859
96.2%
1 1642
 
2.2%
2 470
 
0.6%
3 192
 
0.3%
4 109
 
0.1%
ValueCountFrequency (%)
1023 1
< 0.1%
754 1
< 0.1%
101 1
< 0.1%
65 1
< 0.1%
59 1
< 0.1%

V562
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04648195159
Minimum0
Maximum799
Zeros72479
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:19.393749image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum799
Range799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.658727832
Coefficient of variation (CV)78.7128704
Kurtosis39618.57914
Mean0.04648195159
Median Absolute Deviation (MAD)0
Skewness196.3014655
Sum3424
Variance13.38628935
MonotonicityNot monotonic
2024-03-09T21:16:19.655733image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 72479
98.4%
1 824
 
1.1%
2 188
 
0.3%
3 79
 
0.1%
4 36
 
< 0.1%
6 13
 
< 0.1%
5 13
 
< 0.1%
7 10
 
< 0.1%
9 4
 
< 0.1%
14 3
 
< 0.1%
Other values (10) 14
 
< 0.1%
ValueCountFrequency (%)
0 72479
98.4%
1 824
 
1.1%
2 188
 
0.3%
3 79
 
0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
799 1
< 0.1%
583 1
< 0.1%
30 1
< 0.1%
20 1
< 0.1%
17 2
< 0.1%

V563
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02556235831
Minimum0
Maximum679
Zeros73181
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:19.888883image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum679
Range679
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.170408512
Coefficient of variation (CV)124.0264483
Kurtosis38919.21532
Mean0.02556235831
Median Absolute Deviation (MAD)0
Skewness195.6950583
Sum1883
Variance10.05149013
MonotonicityNot monotonic
2024-03-09T21:16:20.122121image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73181
99.3%
1 374
 
0.5%
2 69
 
0.1%
3 22
 
< 0.1%
5 6
 
< 0.1%
4 3
 
< 0.1%
10 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
527 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73181
99.3%
1 374
 
0.5%
2 69
 
0.1%
3 22
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
679 1
< 0.1%
527 1
< 0.1%
18 1
< 0.1%
10 2
< 0.1%
7 1
< 0.1%

V564
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02036300449
Minimum0
Maximum673
Zeros73383
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:20.349868image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum673
Range673
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.072772381
Coefficient of variation (CV)150.8997546
Kurtosis40156.55573
Mean0.02036300449
Median Absolute Deviation (MAD)0
Skewness198.342495
Sum1500
Variance9.441930106
MonotonicityNot monotonic
2024-03-09T21:16:20.580996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73383
99.6%
1 244
 
0.3%
2 22
 
< 0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
492 1
 
< 0.1%
673 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73383
99.6%
1 244
 
0.3%
2 22
 
< 0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
673 1
< 0.1%
492 1
< 0.1%
8 1
< 0.1%
7 1
< 0.1%
4 2
< 0.1%

V565
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01763436189
Minimum0
Maximum628
Zeros73517
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:20.870962image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum628
Range628
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.935705405
Coefficient of variation (CV)166.4764182
Kurtosis38959.76179
Mean0.01763436189
Median Absolute Deviation (MAD)0
Skewness196.0060806
Sum1299
Variance8.618366226
MonotonicityNot monotonic
2024-03-09T21:16:21.193344image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73517
99.8%
1 125
 
0.2%
2 12
 
< 0.1%
3 4
 
< 0.1%
4 2
 
< 0.1%
490 1
 
< 0.1%
628 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73517
99.8%
1 125
 
0.2%
2 12
 
< 0.1%
3 4
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
628 1
 
< 0.1%
490 1
 
< 0.1%
12 1
 
< 0.1%
4 2
< 0.1%
3 4
< 0.1%

V566
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01711849911
Minimum0
Maximum632
Zeros73566
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:21.464518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum632
Range632
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.958739488
Coefficient of variation (CV)172.8387208
Kurtosis38892.63436
Mean0.01711849911
Median Absolute Deviation (MAD)0
Skewness195.8683557
Sum1261
Variance8.75413936
MonotonicityNot monotonic
2024-03-09T21:16:21.723126image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73566
99.9%
1 79
 
0.1%
2 8
 
< 0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
495 1
 
< 0.1%
632 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
0 73566
99.9%
1 79
 
0.1%
2 8
 
< 0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
632 1
 
< 0.1%
495 1
 
< 0.1%
15 1
 
< 0.1%
4 3
< 0.1%
3 4
< 0.1%

V567
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4745937581
Minimum0
Maximum17914
Zeros73277
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:22.005644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17914
Range17914
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.78989491
Coefficient of variation (CV)187.0860992
Kurtosis37235.55628
Mean0.4745937581
Median Absolute Deviation (MAD)0
Skewness192.7043793
Sum34960
Variance7883.645437
MonotonicityNot monotonic
2024-03-09T21:16:22.307101image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 73277
99.5%
1 229
 
0.3%
2 65
 
0.1%
3 35
 
< 0.1%
4 15
 
< 0.1%
5 7
 
< 0.1%
7 6
 
< 0.1%
6 6
 
< 0.1%
8 5
 
< 0.1%
10 4
 
< 0.1%
Other values (10) 14
 
< 0.1%
ValueCountFrequency (%)
0 73277
99.5%
1 229
 
0.3%
2 65
 
0.1%
3 35
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
17914 1
< 0.1%
16119 1
< 0.1%
59 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%

V568
Real number (ℝ)

SKEWED  ZEROS 

Distinct282
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.650693021
Minimum0
Maximum23421
Zeros64874
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:16:22.654812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum23421
Range23421
Interquartile range (IQR)0

Descriptive statistics

Standard deviation115.1507918
Coefficient of variation (CV)43.44176821
Kurtosis36010.88533
Mean2.650693021
Median Absolute Deviation (MAD)0
Skewness187.2479692
Sum195258
Variance13259.70485
MonotonicityNot monotonic
2024-03-09T21:16:22.980438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64874
88.1%
1 2796
 
3.8%
2 1031
 
1.4%
3 643
 
0.9%
4 465
 
0.6%
5 373
 
0.5%
6 310
 
0.4%
7 294
 
0.4%
8 207
 
0.3%
10 172
 
0.2%
Other values (272) 2498
 
3.4%
ValueCountFrequency (%)
0 64874
88.1%
1 2796
 
3.8%
2 1031
 
1.4%
3 643
 
0.9%
4 465
 
0.6%
ValueCountFrequency (%)
23421 1
< 0.1%
20176 1
< 0.1%
880 1
< 0.1%
798 1
< 0.1%
762 1
< 0.1%